CN117438056A - Editing, screening and storage control method and system for digestive endoscopy image data - Google Patents

Editing, screening and storage control method and system for digestive endoscopy image data Download PDF

Info

Publication number
CN117438056A
CN117438056A CN202311753042.8A CN202311753042A CN117438056A CN 117438056 A CN117438056 A CN 117438056A CN 202311753042 A CN202311753042 A CN 202311753042A CN 117438056 A CN117438056 A CN 117438056A
Authority
CN
China
Prior art keywords
image
picture
panoramic
preset
images
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202311753042.8A
Other languages
Chinese (zh)
Other versions
CN117438056B (en
Inventor
曾凡新
李诗林
周尧
张�杰
杨波
郭强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dazhou Central Hospital Dazhou People's Hospital
Original Assignee
Dazhou Central Hospital Dazhou People's Hospital
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dazhou Central Hospital Dazhou People's Hospital filed Critical Dazhou Central Hospital Dazhou People's Hospital
Priority to CN202311753042.8A priority Critical patent/CN117438056B/en
Publication of CN117438056A publication Critical patent/CN117438056A/en
Application granted granted Critical
Publication of CN117438056B publication Critical patent/CN117438056B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/40ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/51Indexing; Data structures therefor; Storage structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53Querying
    • G06F16/535Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Epidemiology (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Endoscopes (AREA)
  • Image Processing (AREA)

Abstract

The invention relates to the technical field of medical image processing, and provides an editing, screening and storing control method and a system for image data of a digestive endoscope, which aim at the defects in the prior art, and synchronously and dynamically detect the digestive endoscope in a shooting working state to obtain shooting dynamic information of the digestive endoscope, and preliminarily screen images shot by the digestive endoscope, judge whether the images meet preset image quality conditions or not, so as to re-perform shooting work based on the shooting dynamic information of the images which do not meet the preset image quality conditions, and update corresponding images; integrating all the images into a panoramic image and identifying the picture feature points existing in the panoramic image; editing a target picture area of the panoramic image based on picture feature points, and carrying out targeted image restoration on the panoramic image; and uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform.

Description

Editing, screening and storage control method and system for digestive endoscopy image data
Technical Field
The invention relates to the technical field of medical image processing, in particular to an editing, screening and storage control method and system for digestive endoscope image data.
Background
The digestive endoscope belongs to invasive imaging equipment, and performs endoscopic shooting on the digestive system inside a human body through a camera with an optical fiber. The shooting process of the digestive endoscope is slow and the operation is complicated, and in order to ensure the shooting reliability of the digestive endoscope, shooting with different azimuth directions needs to be performed on the digestive system, so that a large amount of image data is obtained. In practical operation, the image data obtained by shooting may have problems of blurring and the like due to factors such as misoperation of shooting, and in order to ensure the reliability of the image data shot by the digestive endoscope, the corresponding image data needs to be screened, so that the accuracy of the image data is improved. The existing editing and screening of the digestive endoscopy image data only carries out simple elimination on the image data, and can not effectively and accurately edit the image data and improve the quality of the image data.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an editing, screening and storing control method and a system for image data of a digestive endoscope, which are used for synchronously and dynamically detecting the digestive endoscope in a shooting working state to obtain shooting dynamic information of the digestive endoscope, preliminarily screening images shot by the digestive endoscope, judging whether the images meet preset image quality conditions or not, and further, based on the shooting dynamic information of the images which do not meet the preset image quality conditions, re-shooting the images to update corresponding images, thereby improving the image shooting quality of the digestive endoscope; integrating all the images into a panoramic image and identifying the picture feature points existing in the panoramic image; editing a target picture area of the panoramic image based on picture feature points, and carrying out targeted image restoration on the panoramic image; and uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform, so that the editing quality and accuracy and the storage reliability of the digestive endoscopy image data are improved.
The invention provides an editing, screening and storage control method for digestive endoscope image data, which comprises the following steps:
step S1, synchronous dynamic detection is carried out on a digestive endoscope in a photographing working state, photographing dynamic information of the digestive endoscope is obtained, and corresponding relation information between an image photographed by the digestive endoscope and the photographing dynamic information is constructed; performing preliminary screening on the images, and judging whether the images meet preset image quality conditions or not;
step S2, based on the image pickup dynamic information corresponding to the image which does not meet the preset image quality condition, the image pickup operation of the digestive endoscope is carried out again, so that the image which does not meet the preset image quality condition is updated; integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images;
step S3, determining that a target picture area exists in the panoramic image based on the picture characteristic points; then, editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, so as to obtain an edited panoramic image;
S4, performing edge correction processing on the edited panoramic image, and performing image attribute verification processing on the edited panoramic image; based on the real-time storage state information of the cloud platform, uploading the panoramic image successfully processed by image attribute verification to the cloud platform for storage.
In one embodiment disclosed in the present application, in the step S1, synchronous dynamic detection is performed on a digestive endoscope in a photographing working state to obtain photographing dynamic information of the digestive endoscope, and corresponding relation information between an image photographed by the digestive endoscope and the photographing dynamic information is constructed; preliminary screening is carried out on the images, and whether the images meet the preset image quality conditions or not is judged, including:
in the shooting process of the digestive endoscope, detecting the orientation gesture of the lens and the depth of the lens penetrating into the human body when the digestive endoscope executes shooting action, taking the orientation gesture and the depth of the lens penetrating into the human body as the shooting dynamic information of the digestive endoscope, and constructing the unique corresponding relation information of the image shot by the digestive endoscope and the shooting dynamic information;
performing picture identification on the image to obtain picture pixel contour feature information of the image; determining the minimum picture pixel contour distance of the image based on the picture pixel contour feature information; if the minimum picture pixel contour distance is larger than a preset distance threshold value, judging that the image does not meet a preset image quality condition; otherwise, judging that the image meets the preset image quality condition.
In one embodiment disclosed in the present application, in the step S2, based on the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition, the image capturing operation of the digestive endoscope is performed again, so as to update the image that does not meet the preset image quality condition; integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images, wherein the method comprises the following steps:
extracting image capturing dynamic information corresponding to the image which does not meet the preset image quality condition from the corresponding relation information, and controlling the digestive endoscope to re-enter the image capturing work under the condition of changing the image capturing parameters based on the extracted image capturing dynamic information to obtain another image of the image corresponding to the shooting area which does not meet the preset image quality condition, so as to update the image which does not meet the preset image quality condition;
based on the picture edge content information of all the images meeting the preset image quality conditions, splicing and integrating all the images meeting the preset image quality conditions to obtain corresponding panoramic images; carrying out picture pixel contrast identification on the panoramic image to obtain picture pixel contrast distribution information of the panoramic image; based on the picture pixel contrast distribution information, taking pixel points meeting preset contrast distribution conditions as picture characteristic points of the panoramic image; the preset contrast distribution condition means that contrast difference values between the pixel points and all the surrounding pixel points are larger than a preset difference threshold value.
In one embodiment disclosed in the present application, in the step S3, a target picture area of the panoramic image is determined based on the picture feature points; and editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining an edited panoramic image, comprising:
taking a picture area in a corresponding range around the picture feature points as a target picture area of the panoramic image based on the position information of the picture feature points in the panoramic image;
and carrying out pixel interpolation resolution restoration processing on the target picture area based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image.
In one embodiment disclosed in the present application, in the step S4, after performing edge correction processing on the edited panoramic image, performing image attribute verification processing on the edited panoramic image; based on real-time storage state information of a cloud platform, uploading panoramic images successfully processed by image attribute verification to the cloud platform for storage, wherein the method comprises the following steps:
After edge clipping correction processing is carried out on the edited panoramic image, image attribute verification processing is carried out on the edited panoramic image, and the average picture resolution of the edited panoramic image is obtained; if the average picture resolution is smaller than a preset resolution threshold, eliminating the edited panoramic image; otherwise, reserving the edited panoramic image;
identifying the position information of an available storage section of the cloud platform based on the real-time storage state information of the cloud platform; and uploading the reserved panoramic image which is completed to be edited to a corresponding storage interval for storage based on the position information.
The invention also provides an editing, screening and storing control system for digesting the endoscopic image data, comprising:
the image pickup dynamic detection and processing module is used for synchronously and dynamically detecting the digestive endoscope in an image pickup working state to obtain image pickup dynamic information of the digestive endoscope, and constructing corresponding relation information of an image obtained by shooting the digestive endoscope and the image pickup dynamic information;
the image quality judging module is used for carrying out preliminary screening on the images and judging whether the images meet the preset image quality conditions or not;
The image updating module is used for carrying out image pickup operation of the digestive endoscope again based on image pickup dynamic information corresponding to the images which do not meet the preset image quality conditions so as to update the images which do not meet the preset image quality conditions;
the image integration and identification module is used for integrating all images meeting the preset image quality condition to obtain corresponding panoramic images and identifying all picture characteristic points of the panoramic images;
the image editing module is used for determining that the panoramic image has a target picture area based on the picture characteristic points; then, editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, so as to obtain an edited panoramic image;
the image correction and verification module is used for carrying out image attribute verification processing on the edited panoramic image after carrying out edge correction processing on the edited panoramic image;
and the image storage processing module is used for uploading the panoramic image successfully subjected to image attribute verification processing to the cloud platform for storage based on the real-time storage state information of the cloud platform.
In an embodiment disclosed in the present application, the imaging dynamic detection and processing module is configured to perform synchronous dynamic detection on a digestive endoscope in an imaging working state, obtain imaging dynamic information of the digestive endoscope, and construct correspondence information between an image obtained by imaging the digestive endoscope and the imaging dynamic information, where the method includes:
in the shooting process of the digestive endoscope, detecting the orientation gesture of the lens and the depth of the lens penetrating into the human body when the digestive endoscope executes shooting action, taking the orientation gesture and the depth of the lens penetrating into the human body as the shooting dynamic information of the digestive endoscope, and constructing the unique corresponding relation information of the image shot by the digestive endoscope and the shooting dynamic information;
the image quality judging module is used for primarily screening the images and judging whether the images meet the preset image quality conditions or not, and comprises the following steps:
performing picture identification on the image to obtain picture pixel contour feature information of the image; determining the minimum picture pixel contour distance of the image based on the picture pixel contour feature information; if the minimum picture pixel contour distance is larger than a preset distance threshold value, judging that the image does not meet a preset image quality condition; otherwise, judging that the image meets the preset image quality condition.
In an embodiment of the disclosure, the image updating module is configured to re-perform the image capturing operation of the digestive endoscope based on the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition, so as to update the image that does not meet the preset image quality condition, and includes:
extracting image capturing dynamic information corresponding to the image which does not meet the preset image quality condition from the corresponding relation information, and controlling the digestive endoscope to re-enter the image capturing work under the condition of changing the image capturing parameters based on the extracted image capturing dynamic information to obtain another image of the image corresponding to the shooting area which does not meet the preset image quality condition, so as to update the image which does not meet the preset image quality condition;
the image integration and identification module is used for integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images, and comprises the following steps:
based on the picture edge content information of all the images meeting the preset image quality conditions, splicing and integrating all the images meeting the preset image quality conditions to obtain corresponding panoramic images; carrying out picture pixel contrast identification on the panoramic image to obtain picture pixel contrast distribution information of the panoramic image; based on the picture pixel contrast distribution information, taking pixel points meeting preset contrast distribution conditions as picture characteristic points of the panoramic image; the preset contrast distribution condition means that contrast difference values between the pixel points and all the surrounding pixel points are larger than a preset difference threshold value.
In one embodiment disclosed in the present application, the image editing module is configured to determine, based on the picture feature points, that the panoramic image has a target picture area; and editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining an edited panoramic image, comprising:
taking a picture area in a corresponding range around the picture feature points as a target picture area of the panoramic image based on the position information of the picture feature points in the panoramic image;
and carrying out pixel interpolation resolution restoration processing on the target picture area based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image.
In an embodiment of the disclosure, the image correction and verification module is configured to perform image attribute verification processing on the edited panoramic image after performing edge correction processing on the edited panoramic image, and includes:
after edge clipping correction processing is carried out on the edited panoramic image, image attribute verification processing is carried out on the edited panoramic image, and the average picture resolution of the edited panoramic image is obtained; if the average picture resolution is smaller than a preset resolution threshold, eliminating the edited panoramic image; otherwise, reserving the edited panoramic image;
The image storage processing module is configured to upload, based on real-time storage status information of a cloud platform, a panoramic image that is successfully verified and processed in image attribute to the cloud platform for storage, and includes:
identifying the position information of an available storage section of the cloud platform based on the real-time storage state information of the cloud platform; and uploading the reserved panoramic image which is completed to be edited to a corresponding storage interval for storage based on the position information.
Compared with the prior art, the editing, screening and storing control method and system for the image data of the digestive endoscopes synchronously and dynamically detect the digestive endoscopes in the shooting working state to obtain shooting dynamic information of the digestive endoscopes, preliminarily screen images shot by the digestive endoscopes, judge whether the images meet preset image quality conditions or not, and accordingly, based on the shooting dynamic information of the images which do not meet the preset image quality conditions, carry out shooting work again to update corresponding images, and improve the image shooting quality of the digestive endoscopes; integrating all the images into a panoramic image and identifying the picture feature points existing in the panoramic image; editing a target picture area of the panoramic image based on picture feature points, and carrying out targeted image restoration on the panoramic image; and uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform, so that the editing quality and accuracy and the storage reliability of the digestive endoscopy image data are improved.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of an edit screening and storage control method for digesting endoscopic image data according to the present invention;
fig. 2 is a schematic diagram of a framework of the edit screening and storage control system for digestive endoscopy image data.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of an edit screening and storage control method for digestive endoscopy image data according to an embodiment of the present invention is shown. The editing, screening and storing control method for the digestive endoscopy image data comprises the following steps:
step S1, synchronous dynamic detection is carried out on a digestive endoscope in a photographing working state, photographing dynamic information of the digestive endoscope is obtained, and corresponding relation information between an image photographed by the digestive endoscope and the photographing dynamic information is constructed; performing preliminary screening on the image, and judging whether the image meets the preset image quality condition;
step S2, based on the image pickup dynamic information corresponding to the image which does not meet the preset image quality condition, the image pickup work of the digestive endoscope is carried out again, so that the image which does not meet the preset image quality condition is updated; integrating all the images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images;
Step S3, determining that a target picture area exists in the panoramic image based on the picture characteristic points; then, based on the difference of visual characteristics of the picture between the target picture area and the picture area adjacent to the target picture area, editing the target picture area, thereby obtaining the edited panoramic image;
s4, performing edge correction processing on the edited panoramic image, and performing image attribute verification processing on the edited panoramic image; based on the real-time storage state information of the cloud platform, uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage.
The editing, screening and storing control method for the image data of the digestive endoscopes carries out synchronous dynamic detection on the digestive endoscopes in a shooting working state to obtain shooting dynamic information of the digestive endoscopes, and also carries out preliminary screening on images shot by the digestive endoscopes to judge whether the images meet preset image quality conditions or not, so that shooting work is carried out again based on the shooting dynamic information of the images which do not meet the preset image quality conditions to update corresponding images, and the image shooting quality of the digestive endoscopes is improved; integrating all the images into a panoramic image and identifying the picture feature points existing in the panoramic image; editing a target picture area of the panoramic image based on picture feature points, and carrying out targeted image restoration on the panoramic image; and uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform, so that the editing quality and accuracy and the storage reliability of the digestive endoscopy image data are improved.
Preferably, in the step S1, synchronous dynamic detection is performed on the digestive endoscope in the imaging working state to obtain imaging dynamic information of the digestive endoscope, and corresponding relation information between an image obtained by imaging the digestive endoscope and the imaging dynamic information is constructed; preliminary screening is carried out on the image, and whether the image meets the preset image quality condition is judged, which comprises the following steps:
in the process of shooting operation of the digestive endoscope, detecting the orientation posture of the lens and the depth of the lens penetrating into the human body when the digestive endoscope executes shooting action, taking the orientation posture and the depth of the lens penetrating into the human body as the shooting dynamic information of the digestive endoscope, and constructing the unique corresponding relation information of the image shot by the digestive endoscope and the shooting dynamic information;
performing picture identification on the image to obtain picture pixel contour feature information of the image; determining the minimum picture pixel contour distance of the image based on the picture pixel contour characteristic information; if the minimum picture pixel outline interval is larger than a preset interval threshold value, judging that the image does not meet a preset image quality condition; otherwise, judging that the image meets the preset image quality condition.
In the technical scheme, the digestion endoscope is used as an endoscope, the digestion system in the human body is shot in a mode of invading the human body, in the shooting working process of the digestion endoscope, the orientation gesture of the lens of the digestion endoscope and the depth of the lens penetrating into the human body are detected every time the digestion endoscope performs shooting action, namely, the orientation gesture of the lens of the digestion endoscope in the digestion system and the depth of the lens entering into the digestion system are recorded every time the digestion endoscope shoots the digestion system, the current shooting area of the digestion endoscope is conveniently positioned, and unique corresponding relation information between the image shot by the digestion endoscope and shooting dynamic information is also constructed, so that the corresponding position can be conveniently and accurately shot again. And carrying out picture recognition on the image to obtain picture pixel contour characteristic information of the image so as to determine the minimum picture pixel contour distance of the image, wherein the larger the minimum picture pixel contour distance is, the more detail information in the digestive system cannot be effectively and clearly distinguished by the image, namely the worse the quality of the corresponding image is, and by carrying out threshold value comparison on the minimum picture pixel contour distance, whether the image meets the preset image quality condition can be accurately judged, and the quality screening accuracy of the image is improved.
Preferably, in the step S2, the image capturing operation of the digestive endoscope is performed again based on the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition, so as to update the image that does not meet the preset image quality condition; integrating all the images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all the picture characteristic points of the panoramic images, wherein the method comprises the following steps:
extracting image capturing dynamic information corresponding to the image which does not meet the preset image quality condition from the corresponding relation information, and controlling the digestion endoscope to re-enter the image capturing work under the condition of changing the image capturing parameters based on the extracted image capturing dynamic information to obtain another image of the image corresponding to the shooting area which does not meet the preset image quality condition, so as to update the image which does not meet the preset image quality condition;
based on the picture edge content information of all the images meeting the preset image quality conditions, splicing and integrating all the images meeting the preset image quality conditions to obtain corresponding panoramic images; carrying out picture pixel contrast identification on the panoramic image to obtain picture pixel contrast distribution information of the panoramic image; based on the picture pixel contrast distribution information, taking pixel points meeting preset contrast distribution conditions as picture feature points of the panoramic image; the preset contrast distribution condition means that contrast difference values between the pixel points and all the surrounding pixel points are larger than a preset difference threshold value.
In the above technical solution, the image that does not meet the preset image quality condition needs to be re-shot and updated, so as to ensure the shooting definition and quality of the digestive endoscope to the digestive endoscope and the digestive system, at this time, the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition is extracted from the corresponding relation information, and the digestive endoscope is controlled to re-enter the image capturing operation under the condition of changing the image capturing parameters (such as changing the image capturing focal length, the image capturing amplification rate or the image capturing exposure degree, etc.), so as to re-shoot the corresponding area, and ensure the accuracy of the re-shot area. In addition, based on the picture edge content information of all the images meeting the preset image quality conditions, all the images meeting the preset image quality conditions are spliced and integrated to obtain corresponding panoramic images, picture pixel contrast identification is carried out on the panoramic images, and the existing pixel points with obvious identification characteristics in contrast are determined to serve as picture characteristic points, so that reliable basis is provided for carrying out regional editing correction on the panoramic images.
Preferably, in the step S3, a target picture area of the panoramic image is determined based on the picture feature point; and editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image, comprising:
Taking a picture area in a corresponding range around the picture feature point as a target picture area of the panoramic image based on the position information of the picture feature point in the panoramic image;
and carrying out pixel interpolation resolution restoration processing on the target picture area based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image.
In the above technical solution, in the actual target picture area determining operation, a circular area formed by taking the picture feature point as a circle center and a preset length as a radius is taken as a target picture area; and then, based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, carrying out pixel interpolation resolution restoration processing on the target picture area, so that the resolution of the target picture area can be improved and has coordinated resolution distribution with the adjacent picture area, and the resolution restoration of the target picture area is realized.
Preferably, in the step S4, after performing edge correction processing on the edited panoramic image, performing image attribute verification processing on the edited panoramic image; based on real-time storage state information of a cloud platform, uploading panoramic images successfully processed by image attribute verification to the cloud platform for storage, wherein the method comprises the following steps:
After edge clipping correction processing is carried out on the edited panoramic image, image attribute verification processing is carried out on the edited panoramic image, and the average picture resolution of the edited panoramic image is obtained; if the average picture resolution is smaller than a preset resolution threshold, eliminating the edited panoramic image; otherwise, reserving the edited panoramic image;
identifying the position information of an available storage section of the cloud platform based on the real-time storage state information of the cloud platform; and uploading the reserved panoramic image which is completely edited to a corresponding storage interval for storage based on the position information.
In the above technical solution, after performing edge clipping correction processing on the edited panoramic image, performing image attribute verification processing on the edited panoramic image to obtain an average picture resolution of the edited panoramic image, performing threshold comparison on the average picture resolution, and determining whether to reserve the edited panoramic image; and identifying the position information of the available storage section of the cloud platform based on the real-time storage state information of the cloud platform, so that the reserved panoramic image which is completed to be edited is uploaded to the corresponding storage section to be stored, and the data quality and storage safety of the digestive endoscope image data stored by the cloud platform are ensured.
Referring to fig. 2, a schematic diagram of a framework of an edit screening and storage control system for digesting endoscopic image data according to an embodiment of the present invention is shown. The editing, screening and storing control system for digesting the endoscopic image data comprises:
the image pickup dynamic detection and processing module is used for synchronously and dynamically detecting the digestive endoscope in an image pickup working state to obtain image pickup dynamic information of the digestive endoscope, and constructing corresponding relation information of an image obtained by shooting the digestive endoscope and the image pickup dynamic information;
the image quality judging module is used for carrying out preliminary screening on the image and judging whether the image meets the preset image quality condition or not;
the image updating module is used for carrying out image pickup operation of the digestive endoscope again based on image pickup dynamic information corresponding to the image which does not meet the preset image quality condition so as to update the image which does not meet the preset image quality condition;
the image integration and identification module is used for integrating all images meeting the preset image quality condition to obtain corresponding panoramic images and identifying all picture characteristic points of the panoramic images;
the image editing module is used for determining that the panoramic image has a target picture area based on the picture characteristic points; then, based on the difference of visual characteristics of the picture between the target picture area and the picture area adjacent to the target picture area, editing the target picture area, thereby obtaining the edited panoramic image;
The image correction and verification module is used for carrying out edge correction processing on the edited panoramic image and then carrying out image attribute verification processing on the edited panoramic image;
and the image storage processing module is used for uploading the panoramic image successfully subjected to image attribute verification processing to the cloud platform for storage based on the real-time storage state information of the cloud platform.
The editing, screening and storing control system for the image data of the digestive endoscopes carries out synchronous dynamic detection on the digestive endoscopes in a shooting working state to obtain shooting dynamic information of the digestive endoscopes, and also preliminarily screens images shot by the digestive endoscopes to judge whether the images meet preset image quality conditions or not, so that shooting work is carried out again based on the shooting dynamic information of the images which do not meet the preset image quality conditions to update corresponding images, and the image shooting quality of the digestive endoscopes is improved; integrating all the images into a panoramic image and identifying the picture feature points existing in the panoramic image; editing a target picture area of the panoramic image based on picture feature points, and carrying out targeted image restoration on the panoramic image; and uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform, so that the editing quality and accuracy and the storage reliability of the digestive endoscopy image data are improved.
Preferably, the image capturing dynamic detection and processing module is configured to perform synchronous dynamic detection on a digestive endoscope in an image capturing working state, obtain image capturing dynamic information of the digestive endoscope, and construct corresponding relation information between an image captured by the digestive endoscope and the image capturing dynamic information, and includes:
in the process of shooting operation of the digestive endoscope, detecting the orientation posture of the lens and the depth of the lens penetrating into the human body when the digestive endoscope executes shooting action, taking the orientation posture and the depth of the lens penetrating into the human body as the shooting dynamic information of the digestive endoscope, and constructing the unique corresponding relation information of the image shot by the digestive endoscope and the shooting dynamic information;
the image quality judging module is used for primarily screening the image and judging whether the image meets the preset image quality condition or not, and comprises the following steps:
performing picture identification on the image to obtain picture pixel contour feature information of the image; determining the minimum picture pixel contour distance of the image based on the picture pixel contour characteristic information; if the minimum picture pixel outline interval is larger than a preset interval threshold value, judging that the image does not meet a preset image quality condition; otherwise, judging that the image meets the preset image quality condition.
In the technical scheme, the digestion endoscope is used as an endoscope, the digestion system in the human body is shot in a mode of invading the human body, in the shooting working process of the digestion endoscope, the orientation gesture of the lens of the digestion endoscope and the depth of the lens penetrating into the human body are detected every time the digestion endoscope performs shooting action, namely, the orientation gesture of the lens of the digestion endoscope in the digestion system and the depth of the lens entering into the digestion system are recorded every time the digestion endoscope shoots the digestion system, the current shooting area of the digestion endoscope is conveniently positioned, and unique corresponding relation information between the image shot by the digestion endoscope and shooting dynamic information is also constructed, so that the corresponding position can be conveniently and accurately shot again. And carrying out picture recognition on the image to obtain picture pixel contour characteristic information of the image so as to determine the minimum picture pixel contour distance of the image, wherein the larger the minimum picture pixel contour distance is, the more detail information in the digestive system cannot be effectively and clearly distinguished by the image, namely the worse the quality of the corresponding image is, and by carrying out threshold value comparison on the minimum picture pixel contour distance, whether the image meets the preset image quality condition can be accurately judged, and the quality screening accuracy of the image is improved.
Preferably, the image updating module is configured to re-perform the image capturing operation of the digestive endoscope based on the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition, so as to update the image that does not meet the preset image quality condition, and includes:
extracting image capturing dynamic information corresponding to the image which does not meet the preset image quality condition from the corresponding relation information, and controlling the digestion endoscope to re-enter the image capturing work under the condition of changing the image capturing parameters based on the extracted image capturing dynamic information to obtain another image of the image corresponding to the shooting area which does not meet the preset image quality condition, so as to update the image which does not meet the preset image quality condition;
the image integration and identification module is used for integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images, and comprises the following steps:
based on the picture edge content information of all the images meeting the preset image quality conditions, splicing and integrating all the images meeting the preset image quality conditions to obtain corresponding panoramic images; carrying out picture pixel contrast identification on the panoramic image to obtain picture pixel contrast distribution information of the panoramic image; based on the picture pixel contrast distribution information, taking pixel points meeting preset contrast distribution conditions as picture feature points of the panoramic image; the preset contrast distribution condition means that contrast difference values between the pixel points and all the surrounding pixel points are larger than a preset difference threshold value.
In the above technical solution, the image that does not meet the preset image quality condition needs to be re-shot and updated, so as to ensure the shooting definition and quality of the digestive endoscope to the digestive endoscope and the digestive system, at this time, the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition is extracted from the corresponding relation information, and the digestive endoscope is controlled to re-enter the image capturing operation under the condition of changing the image capturing parameters (such as changing the image capturing focal length, the image capturing amplification rate or the image capturing exposure degree, etc.), so as to re-shoot the corresponding area, and ensure the accuracy of the re-shot area. In addition, based on the picture edge content information of all the images meeting the preset image quality conditions, all the images meeting the preset image quality conditions are spliced and integrated to obtain corresponding panoramic images, picture pixel contrast identification is carried out on the panoramic images, and the existing pixel points with obvious identification characteristics in contrast are determined to serve as picture characteristic points, so that reliable basis is provided for carrying out regional editing correction on the panoramic images.
Preferably, the image editing module is configured to determine that the panoramic image has a target image area based on the image feature points; and editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image, comprising:
Taking a picture area in a corresponding range around the picture feature point as a target picture area of the panoramic image based on the position information of the picture feature point in the panoramic image;
and carrying out pixel interpolation resolution restoration processing on the target picture area based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image.
In the above technical solution, in the actual target picture area determining operation, a circular area formed by taking the picture feature point as a circle center and a preset length as a radius is taken as a target picture area; and then, based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, carrying out pixel interpolation resolution restoration processing on the target picture area, so that the resolution of the target picture area can be improved and has coordinated resolution distribution with the adjacent picture area, and the resolution restoration of the target picture area is realized.
Preferably, the image correction and verification module is configured to perform image attribute verification processing on the edited panoramic image after performing edge correction processing on the edited panoramic image, and includes:
After edge clipping correction processing is carried out on the edited panoramic image, image attribute verification processing is carried out on the edited panoramic image, and the average picture resolution of the edited panoramic image is obtained; if the average picture resolution is smaller than a preset resolution threshold, eliminating the edited panoramic image; otherwise, reserving the edited panoramic image;
the image storage processing module is used for uploading the panoramic image successfully verified and processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform, and comprises the following steps:
identifying the position information of an available storage section of the cloud platform based on the real-time storage state information of the cloud platform; and uploading the reserved panoramic image which is completely edited to a corresponding storage interval for storage based on the position information.
In the above technical solution, after performing edge clipping correction processing on the edited panoramic image, performing image attribute verification processing on the edited panoramic image to obtain an average picture resolution of the edited panoramic image, performing threshold comparison on the average picture resolution, and determining whether to reserve the edited panoramic image; and identifying the position information of the available storage section of the cloud platform based on the real-time storage state information of the cloud platform, so that the reserved panoramic image which is completed to be edited is uploaded to the corresponding storage section to be stored, and the data quality and storage safety of the digestive endoscope image data stored by the cloud platform are ensured.
As can be seen from the above embodiments, the editing, screening and storing control method and system for image data of a digestive endoscope perform synchronous dynamic detection on the digestive endoscope in a photographing working state to obtain photographing dynamic information of the digestive endoscope, and further primarily screen images photographed by the digestive endoscope to determine whether the images meet a preset image quality condition, so as to re-perform photographing work based on the photographing dynamic information of the images not meeting the preset image quality condition, thereby updating corresponding images and improving the image photographing quality of the digestive endoscope; integrating all the images into a panoramic image and identifying the picture feature points existing in the panoramic image; editing a target picture area of the panoramic image based on picture feature points, and carrying out targeted image restoration on the panoramic image; and uploading the panoramic image successfully processed by the image attribute verification to the cloud platform for storage based on the real-time storage state information of the cloud platform, so that the editing quality and accuracy and the storage reliability of the digestive endoscopy image data are improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (10)

1. The editing, screening and storage control method for the digestive endoscope image data is characterized by comprising the following steps of:
step S1, synchronous dynamic detection is carried out on a digestive endoscope in a photographing working state, photographing dynamic information of the digestive endoscope is obtained, and corresponding relation information between an image photographed by the digestive endoscope and the photographing dynamic information is constructed; performing preliminary screening on the images, and judging whether the images meet preset image quality conditions or not;
step S2, based on the image pickup dynamic information corresponding to the image which does not meet the preset image quality condition, the image pickup operation of the digestive endoscope is carried out again, so that the image which does not meet the preset image quality condition is updated; integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images;
step S3, determining that a target picture area exists in the panoramic image based on the picture characteristic points; then, editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, so as to obtain an edited panoramic image;
S4, performing edge correction processing on the edited panoramic image, and performing image attribute verification processing on the edited panoramic image; based on the real-time storage state information of the cloud platform, uploading the panoramic image successfully processed by image attribute verification to the cloud platform for storage.
2. The edit screening and storage control method for digestive endoscopy image data of claim 1, wherein:
in the step S1, synchronous dynamic detection is performed on the digestive endoscopes in a photographing working state to obtain photographing dynamic information of the digestive endoscopes, and corresponding relation information between images obtained by photographing the digestive endoscopes and the photographing dynamic information is constructed; preliminary screening is carried out on the images, and whether the images meet the preset image quality conditions or not is judged, including:
in the shooting process of the digestive endoscope, detecting the orientation gesture of the lens and the depth of the lens penetrating into the human body when the digestive endoscope executes shooting action, taking the orientation gesture and the depth of the lens penetrating into the human body as the shooting dynamic information of the digestive endoscope, and constructing the unique corresponding relation information of the image shot by the digestive endoscope and the shooting dynamic information;
Performing picture identification on the image to obtain picture pixel contour feature information of the image; determining the minimum picture pixel contour distance of the image based on the picture pixel contour feature information; if the minimum picture pixel contour distance is larger than a preset distance threshold value, judging that the image does not meet a preset image quality condition; otherwise, judging that the image meets the preset image quality condition.
3. The edit screening and storage control method for digestive endoscopy image data of claim 1, wherein:
in the step S2, based on the image capturing dynamic information corresponding to the image that does not meet the preset image quality condition, the image capturing operation of the digestive endoscope is performed again, so as to update the image that does not meet the preset image quality condition; integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images, wherein the method comprises the following steps:
extracting image capturing dynamic information corresponding to the image which does not meet the preset image quality condition from the corresponding relation information, and controlling the digestive endoscope to re-enter the image capturing work under the condition of changing the image capturing parameters based on the extracted image capturing dynamic information to obtain another image of the image corresponding to the shooting area which does not meet the preset image quality condition, so as to update the image which does not meet the preset image quality condition;
Based on the picture edge content information of all the images meeting the preset image quality conditions, splicing and integrating all the images meeting the preset image quality conditions to obtain corresponding panoramic images; carrying out picture pixel contrast identification on the panoramic image to obtain picture pixel contrast distribution information of the panoramic image; based on the picture pixel contrast distribution information, taking pixel points meeting preset contrast distribution conditions as picture characteristic points of the panoramic image; the preset contrast distribution condition means that contrast difference values between the pixel points and all the surrounding pixel points are larger than a preset difference threshold value.
4. The edit screening and storage control method for digestive endoscopy image data of claim 1, wherein:
in the step S3, determining that the panoramic image has a target picture area based on the picture feature points; and editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining an edited panoramic image, comprising:
taking a picture area in a corresponding range around the picture feature points as a target picture area of the panoramic image based on the position information of the picture feature points in the panoramic image;
And carrying out pixel interpolation resolution restoration processing on the target picture area based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image.
5. The edit screening and storage control method for digestive endoscopy image data of claim 1, wherein:
in the step S4, after performing edge correction processing on the edited panoramic image, performing image attribute verification processing on the edited panoramic image; based on real-time storage state information of a cloud platform, uploading panoramic images successfully processed by image attribute verification to the cloud platform for storage, wherein the method comprises the following steps:
after edge clipping correction processing is carried out on the edited panoramic image, image attribute verification processing is carried out on the edited panoramic image, and the average picture resolution of the edited panoramic image is obtained; if the average picture resolution is smaller than a preset resolution threshold, eliminating the edited panoramic image; otherwise, reserving the edited panoramic image;
identifying the position information of an available storage section of the cloud platform based on the real-time storage state information of the cloud platform; and uploading the reserved panoramic image which is completed to be edited to a corresponding storage interval for storage based on the position information.
6. An edit screening and storage control system for digesting endoscopic image data, comprising:
the image pickup dynamic detection and processing module is used for synchronously and dynamically detecting the digestive endoscope in an image pickup working state to obtain image pickup dynamic information of the digestive endoscope, and constructing corresponding relation information of an image obtained by shooting the digestive endoscope and the image pickup dynamic information;
the image quality judging module is used for carrying out preliminary screening on the images and judging whether the images meet the preset image quality conditions or not;
the image updating module is used for carrying out image pickup operation of the digestive endoscope again based on image pickup dynamic information corresponding to the images which do not meet the preset image quality conditions so as to update the images which do not meet the preset image quality conditions;
the image integration and identification module is used for integrating all images meeting the preset image quality condition to obtain corresponding panoramic images and identifying all picture characteristic points of the panoramic images;
the image editing module is used for determining that the panoramic image has a target picture area based on the picture characteristic points; then, editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, so as to obtain an edited panoramic image;
The image correction and verification module is used for carrying out image attribute verification processing on the edited panoramic image after carrying out edge correction processing on the edited panoramic image;
and the image storage processing module is used for uploading the panoramic image successfully subjected to image attribute verification processing to the cloud platform for storage based on the real-time storage state information of the cloud platform.
7. The edit screening and storage control system for use in digesting endoscopic image data as defined in claim 6, wherein:
the camera dynamic detection and processing module is used for carrying out synchronous dynamic detection on the digestive endoscope in a camera working state to obtain camera dynamic information of the digestive endoscope, and constructing corresponding relation information of an image obtained by camera shooting of the digestive endoscope and the camera dynamic information, and comprises the following steps:
in the shooting process of the digestive endoscope, detecting the orientation gesture of the lens and the depth of the lens penetrating into the human body when the digestive endoscope executes shooting action, taking the orientation gesture and the depth of the lens penetrating into the human body as the shooting dynamic information of the digestive endoscope, and constructing the unique corresponding relation information of the image shot by the digestive endoscope and the shooting dynamic information;
The image quality judging module is used for primarily screening the images and judging whether the images meet the preset image quality conditions or not, and comprises the following steps:
performing picture identification on the image to obtain picture pixel contour feature information of the image; determining the minimum picture pixel contour distance of the image based on the picture pixel contour feature information; if the minimum picture pixel contour distance is larger than a preset distance threshold value, judging that the image does not meet a preset image quality condition; otherwise, judging that the image meets the preset image quality condition.
8. The edit screening and storage control system for use in digesting endoscopic image data as defined in claim 6, wherein:
the image updating module is configured to re-perform the image capturing operation of the digestive endoscope based on image capturing dynamic information corresponding to an image that does not meet a preset image quality condition, so as to update the image that does not meet the preset image quality condition, and includes:
extracting image capturing dynamic information corresponding to the image which does not meet the preset image quality condition from the corresponding relation information, and controlling the digestive endoscope to re-enter the image capturing work under the condition of changing the image capturing parameters based on the extracted image capturing dynamic information to obtain another image of the image corresponding to the shooting area which does not meet the preset image quality condition, so as to update the image which does not meet the preset image quality condition;
The image integration and identification module is used for integrating all images meeting the preset image quality condition to obtain corresponding panoramic images, and identifying all picture characteristic points of the panoramic images, and comprises the following steps:
based on the picture edge content information of all the images meeting the preset image quality conditions, splicing and integrating all the images meeting the preset image quality conditions to obtain corresponding panoramic images; carrying out picture pixel contrast identification on the panoramic image to obtain picture pixel contrast distribution information of the panoramic image; based on the picture pixel contrast distribution information, taking pixel points meeting preset contrast distribution conditions as picture characteristic points of the panoramic image; the preset contrast distribution condition means that contrast difference values between the pixel points and all the surrounding pixel points are larger than a preset difference threshold value.
9. The edit screening and storage control system for use in digesting endoscopic image data as defined in claim 6, wherein:
the image editing module is used for determining that the panoramic image has a target picture area based on the picture characteristic points; and editing the target picture area based on the picture visual characteristic difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining an edited panoramic image, comprising:
Taking a picture area in a corresponding range around the picture feature points as a target picture area of the panoramic image based on the position information of the picture feature points in the panoramic image;
and carrying out pixel interpolation resolution restoration processing on the target picture area based on the picture resolution difference between the target picture area and the picture area adjacent to the target picture area, thereby obtaining the edited panoramic image.
10. The edit screening and storage control system for use in digesting endoscopic image data as defined in claim 6, wherein:
the image correction and verification module is configured to perform image attribute verification processing on the edited panoramic image after performing edge correction processing on the edited panoramic image, and includes:
after edge clipping correction processing is carried out on the edited panoramic image, image attribute verification processing is carried out on the edited panoramic image, and the average picture resolution of the edited panoramic image is obtained; if the average picture resolution is smaller than a preset resolution threshold, eliminating the edited panoramic image; otherwise, reserving the edited panoramic image;
The image storage processing module is configured to upload, based on real-time storage status information of a cloud platform, a panoramic image that is successfully verified and processed in image attribute to the cloud platform for storage, and includes:
identifying the position information of an available storage section of the cloud platform based on the real-time storage state information of the cloud platform; and uploading the reserved panoramic image which is completed to be edited to a corresponding storage interval for storage based on the position information.
CN202311753042.8A 2023-12-20 2023-12-20 Editing, screening and storage control method and system for digestive endoscopy image data Active CN117438056B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311753042.8A CN117438056B (en) 2023-12-20 2023-12-20 Editing, screening and storage control method and system for digestive endoscopy image data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311753042.8A CN117438056B (en) 2023-12-20 2023-12-20 Editing, screening and storage control method and system for digestive endoscopy image data

Publications (2)

Publication Number Publication Date
CN117438056A true CN117438056A (en) 2024-01-23
CN117438056B CN117438056B (en) 2024-03-12

Family

ID=89551951

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311753042.8A Active CN117438056B (en) 2023-12-20 2023-12-20 Editing, screening and storage control method and system for digestive endoscopy image data

Country Status (1)

Country Link
CN (1) CN117438056B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117672471A (en) * 2024-02-01 2024-03-08 达州爱迦飞诗特科技有限公司 Medical image file processing method and system supporting remote access and operation

Citations (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030077003A1 (en) * 2001-10-24 2003-04-24 Tiger Color Inc., Image processing method for enlarging and compensating the pixel of digital video data according to viewpoint
CN101272491A (en) * 2008-04-10 2008-09-24 西安电子科技大学 Image interpolation method based on video object and area guidance
CN101388977A (en) * 2007-09-13 2009-03-18 株式会社东芝 Image processing apparatus and image processing method
CN101616232A (en) * 2008-06-27 2009-12-30 佳能株式会社 Information processor and information processing method
CN101739674A (en) * 2008-11-19 2010-06-16 深圳迈瑞生物医疗电子股份有限公司 Method and device for automatically splicing image sequences and splicing system
CN101877767A (en) * 2009-04-30 2010-11-03 爱国者全景(北京)网络科技发展有限公司 Method and system for generating three-dimensional panoramic continuous video through six-channel video source
US20150172715A1 (en) * 2012-07-09 2015-06-18 Nippon Telegraph And Telephone Corporation Picture encoding method, picture decoding method, picture encoding apparatus, picture decoding apparatus, picture encoding program, picture decoding program, and recording media
CN105208327A (en) * 2015-08-31 2015-12-30 深圳市佳信捷技术股份有限公司 Master/slave camera intelligent monitoring method and device
CN106909925A (en) * 2017-03-03 2017-06-30 河海大学 A kind of underwater picture object detection method
CN108616742A (en) * 2016-12-21 2018-10-02 深圳市掌网科技股份有限公司 A kind of 3D panoramic shooting systems and method
CN108848335A (en) * 2018-05-24 2018-11-20 广东工业大学 A kind of unmanned plane image mosaic system and method
CN109712252A (en) * 2018-12-20 2019-05-03 上海联影医疗科技有限公司 Edit methods, device, computer equipment and the storage medium of image
CN110334652A (en) * 2019-07-05 2019-10-15 无锡睿勤科技有限公司 Image processing method, electronic equipment and storage medium
US20190335099A1 (en) * 2016-06-14 2019-10-31 Hangzhou Hikvision Digital Technology Co., Ltd. Panoramic camera and photographing method thereof
CN111415564A (en) * 2020-03-02 2020-07-14 武汉大学 Pancreatic ultrasonic endoscopy navigation method and system based on artificial intelligence
CN111915521A (en) * 2020-07-31 2020-11-10 北京卓立汉光仪器有限公司 Spliced image correction method and device
US20200394376A1 (en) * 2018-08-16 2020-12-17 Tencent Technology (Shenzhen) Company Limited Method, apparatus, and storage medium for identifying identification code
CN112241667A (en) * 2019-07-18 2021-01-19 华为技术有限公司 Image detection method, device, equipment and storage medium
CN112420172A (en) * 2020-12-29 2021-02-26 苏州琦峰尚科技有限公司 Medical image information management system
CN112686916A (en) * 2020-12-28 2021-04-20 淮阴工学院 Curved surface reconstruction system based on heterogeneous multi-region CT scanning data processing
CN113808137A (en) * 2021-11-19 2021-12-17 武汉楚精灵医疗科技有限公司 Method, device, equipment and storage medium for screening image map of upper gastrointestinal endoscope
CN114332025A (en) * 2021-12-29 2022-04-12 长沙慧维智能医疗科技有限公司 Digestive endoscopy oropharynx passing time automatic detection system and method
CN114615477A (en) * 2020-12-08 2022-06-10 信骅科技股份有限公司 Method for compensating color difference between adjacent lens images in panoramic image
CN114741557A (en) * 2022-03-31 2022-07-12 慧之安信息技术股份有限公司 View database management classification method
CN115436936A (en) * 2022-08-31 2022-12-06 南京慧尔视智能科技有限公司 Radar map determination method, device, equipment and medium for target detection
CN116402735A (en) * 2023-04-18 2023-07-07 四川省肿瘤医院 Endoscope image reconstruction method based on multidirectional visual angle calibration
CN116797463A (en) * 2023-08-22 2023-09-22 佗道医疗科技有限公司 Feature point pair extraction method and image stitching method
CN116797768A (en) * 2023-05-26 2023-09-22 深圳大学 Method and device for reducing reality of panoramic image
CN116823701A (en) * 2022-12-09 2023-09-29 慧之安信息技术股份有限公司 AI-based medical image analysis processing method
CN116934771A (en) * 2022-03-31 2023-10-24 上海微创卜算子医疗科技有限公司 Medical image segmentation method, electronic device and storage medium

Patent Citations (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030077003A1 (en) * 2001-10-24 2003-04-24 Tiger Color Inc., Image processing method for enlarging and compensating the pixel of digital video data according to viewpoint
CN101388977A (en) * 2007-09-13 2009-03-18 株式会社东芝 Image processing apparatus and image processing method
CN101272491A (en) * 2008-04-10 2008-09-24 西安电子科技大学 Image interpolation method based on video object and area guidance
CN101616232A (en) * 2008-06-27 2009-12-30 佳能株式会社 Information processor and information processing method
CN101739674A (en) * 2008-11-19 2010-06-16 深圳迈瑞生物医疗电子股份有限公司 Method and device for automatically splicing image sequences and splicing system
CN101877767A (en) * 2009-04-30 2010-11-03 爱国者全景(北京)网络科技发展有限公司 Method and system for generating three-dimensional panoramic continuous video through six-channel video source
US20150172715A1 (en) * 2012-07-09 2015-06-18 Nippon Telegraph And Telephone Corporation Picture encoding method, picture decoding method, picture encoding apparatus, picture decoding apparatus, picture encoding program, picture decoding program, and recording media
CN105208327A (en) * 2015-08-31 2015-12-30 深圳市佳信捷技术股份有限公司 Master/slave camera intelligent monitoring method and device
US20190335099A1 (en) * 2016-06-14 2019-10-31 Hangzhou Hikvision Digital Technology Co., Ltd. Panoramic camera and photographing method thereof
CN108616742A (en) * 2016-12-21 2018-10-02 深圳市掌网科技股份有限公司 A kind of 3D panoramic shooting systems and method
CN106909925A (en) * 2017-03-03 2017-06-30 河海大学 A kind of underwater picture object detection method
CN108848335A (en) * 2018-05-24 2018-11-20 广东工业大学 A kind of unmanned plane image mosaic system and method
US20200394376A1 (en) * 2018-08-16 2020-12-17 Tencent Technology (Shenzhen) Company Limited Method, apparatus, and storage medium for identifying identification code
CN109712252A (en) * 2018-12-20 2019-05-03 上海联影医疗科技有限公司 Edit methods, device, computer equipment and the storage medium of image
CN110334652A (en) * 2019-07-05 2019-10-15 无锡睿勤科技有限公司 Image processing method, electronic equipment and storage medium
CN112241667A (en) * 2019-07-18 2021-01-19 华为技术有限公司 Image detection method, device, equipment and storage medium
CN111415564A (en) * 2020-03-02 2020-07-14 武汉大学 Pancreatic ultrasonic endoscopy navigation method and system based on artificial intelligence
CN111915521A (en) * 2020-07-31 2020-11-10 北京卓立汉光仪器有限公司 Spliced image correction method and device
CN114615477A (en) * 2020-12-08 2022-06-10 信骅科技股份有限公司 Method for compensating color difference between adjacent lens images in panoramic image
CN112686916A (en) * 2020-12-28 2021-04-20 淮阴工学院 Curved surface reconstruction system based on heterogeneous multi-region CT scanning data processing
CN112420172A (en) * 2020-12-29 2021-02-26 苏州琦峰尚科技有限公司 Medical image information management system
CN113808137A (en) * 2021-11-19 2021-12-17 武汉楚精灵医疗科技有限公司 Method, device, equipment and storage medium for screening image map of upper gastrointestinal endoscope
CN114332025A (en) * 2021-12-29 2022-04-12 长沙慧维智能医疗科技有限公司 Digestive endoscopy oropharynx passing time automatic detection system and method
CN114741557A (en) * 2022-03-31 2022-07-12 慧之安信息技术股份有限公司 View database management classification method
CN116934771A (en) * 2022-03-31 2023-10-24 上海微创卜算子医疗科技有限公司 Medical image segmentation method, electronic device and storage medium
CN115436936A (en) * 2022-08-31 2022-12-06 南京慧尔视智能科技有限公司 Radar map determination method, device, equipment and medium for target detection
CN116823701A (en) * 2022-12-09 2023-09-29 慧之安信息技术股份有限公司 AI-based medical image analysis processing method
CN116402735A (en) * 2023-04-18 2023-07-07 四川省肿瘤医院 Endoscope image reconstruction method based on multidirectional visual angle calibration
CN116797768A (en) * 2023-05-26 2023-09-22 深圳大学 Method and device for reducing reality of panoramic image
CN116797463A (en) * 2023-08-22 2023-09-22 佗道医疗科技有限公司 Feature point pair extraction method and image stitching method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
YUFENG ZHOU: "Weighted-to-Spherically-Uniform SSIM Objective Quality Evaluation for Panoramic Video", 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING(ICSP), 28 February 2019 (2019-02-28), pages 54 - 57 *
刘欣悦等: "X射线图像处理中的最优化插值算法", 光机电信息, no. 10, 15 October 1998 (1998-10-15), pages 11 - 14 *
武宏林等: "目标图像的显示及后期处理技术", 航空计算技术, no. 01, 10 March 2000 (2000-03-10), pages 12 - 14 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117672471A (en) * 2024-02-01 2024-03-08 达州爱迦飞诗特科技有限公司 Medical image file processing method and system supporting remote access and operation
CN117672471B (en) * 2024-02-01 2024-04-19 达州爱迦飞诗特科技有限公司 Medical image file processing method and system supporting remote access and operation

Also Published As

Publication number Publication date
CN117438056B (en) 2024-03-12

Similar Documents

Publication Publication Date Title
CN117438056B (en) Editing, screening and storage control method and system for digestive endoscopy image data
CN110738142A (en) method, system and storage medium for self-adaptively improving face image acquisition
EP2188779B1 (en) Extraction method of tongue region using graph-based approach and geometric properties
CN113766125B (en) Focusing method and device, electronic equipment and computer readable storage medium
EP1849402B1 (en) Medical image processing device, lumen image processing device, lumen image processing method, and programs for them
CN108111749B (en) Image processing method and device
JP5043595B2 (en) Imaging apparatus and endoscope system
WO2014155778A1 (en) Image processing device, endoscopic device, program and image processing method
JP6478136B1 (en) Endoscope system and operation method of endoscope system
CN108156369B (en) Image processing method and device
CN107016348B (en) Face detection method and device combined with depth information and electronic device
CN111582238B (en) Living body detection method and device applied to face shielding scene
US20210353220A1 (en) Camera having transdermal optical imaging function
US20220012915A1 (en) Apparatuses, systems, and methods for managing auto-exposure of image frames depicting signal content against a darkened background
JP4749732B2 (en) Medical image processing device
JP2009123081A (en) Face detection method and photographing apparatus
CN108289170B (en) Photographing apparatus, method and computer readable medium capable of detecting measurement area
CN111161852B (en) Endoscope image processing method, electronic equipment and endoscope system
CN110070508A (en) A kind of unsharp Enhancement Method based on threshold value and Linear Mapping
CN111582157B (en) Human body identification method, device, equipment and computer readable storage medium
CN101681509A (en) Registering device, checking device, program, and data structure
CN115242979A (en) Focusing method and system applied to blood shooting, intelligent equipment and storage medium
JPH09138355A (en) Microscope still picture photographing device and microscope image transmission system
JP2001137192A (en) Ophthalmic imaging equipment, method and recording medium
CN117808815B (en) Method and device for detecting quality of outer wall of implantation and intervention tubular instrument

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant