CN111145143A - Problem image determination method and device, electronic equipment and storage medium - Google Patents
Problem image determination method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN111145143A CN111145143A CN201911205269.2A CN201911205269A CN111145143A CN 111145143 A CN111145143 A CN 111145143A CN 201911205269 A CN201911205269 A CN 201911205269A CN 111145143 A CN111145143 A CN 111145143A
- Authority
- CN
- China
- Prior art keywords
- image
- processed
- code value
- determining
- identifier
- 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
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The disclosure relates to a problem image determination method and device, electronic equipment and a computer-readable storage medium, relates to the technical field of image recognition, and can be applied to scenes in which problem images determined from multiple images are displayed back to a target position according to a preset display mode. The problem image determination method comprises the following steps: acquiring an image to be processed uploaded at a target position, and performing code marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed; screening a problem image with an image attribute value smaller than a preset threshold value from an image to be processed, and determining a code value identifier corresponding to the problem image; and returning the code value identifier to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identifier. The problem image can be determined from the plurality of images to be processed and displayed back at the user side in the preset display mode, so that the user can accurately position the problem image from the plurality of images.
Description
Technical Field
The present disclosure relates to the field of image recognition technologies, and in particular, to a problem image determination method, a problem image determination apparatus, an electronic device, and a computer-readable storage medium.
Background
When an applicant applies for insurance claims in an online mode, electronic materials related to insurance need to be uploaded, and few electronic materials, more electronic materials and hundreds of electronic materials are uploaded, or even more electronic materials are uploaded. In the actual situation, due to the influence of factors such as the photographing equipment, the photographing angle and the photographing environment, some photos have problems in the aspects of definition, integrity and the like, so that serious interference can be caused to the follow-up claim auditing link, and the claim timeliness is influenced.
In this case, the insurance company needs to issue a problem message to the applicant through the system, and prompt the applicant to perform an operation of re-photographing and uploading the problem picture. And after receiving the problem information, the applicant resubmits the picture in a self-service mode according to the prompt so as to perform subsequent examination.
However, the claim application relates to a plurality of types of pictures, each type has tens or hundreds of pictures, and the order of the pictures is not fixed, once some or some of the pictures are not clear or have incomplete content, a problem piece message is issued to an applicant, and the applicant may not be able to accurately locate the problem picture according to the issued problem piece message.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure is directed to a problem image determination method, a problem image determination device, a problem image determination system, an electronic device, and a computer-readable storage medium, so as to overcome, at least to some extent, a problem that a user cannot accurately locate a problem image from a plurality of images.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the invention.
According to a first aspect of the present disclosure, there is provided a problem image determination method, including: acquiring an image to be processed uploaded at a target position, and performing code marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed; screening a problem image with an image attribute value smaller than a preset threshold value from an image to be processed, and determining a code value identifier corresponding to the problem image; and returning the code value identifier to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identifier.
Optionally, after acquiring the to-be-processed image uploaded at the target position, the method further includes: acquiring a storage address and an image name of an image to be processed; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
Optionally, the processing of marking the image to be processed to add the corresponding code value identifier to the image to be processed includes: identifying the image to be processed to determine a coding area of the image to be processed; and marking the image to be processed according to the image identifier and the coding area, and adding a code value identifier for the image to be processed.
Optionally, the image to be processed is subjected to code marking according to the image identifier and the coding region, and a code value identifier is added to the image to be processed, including: determining an image code value of the image to be processed according to the image identifier, and determining a code value display mode of the image code value; and adding the image code value to the coding area according to the code value display pattern, and adding a code value identifier for the image to be processed.
Optionally, the image attribute value includes definition and integrity, the preset threshold includes definition threshold and integrity threshold, and the problem image whose image attribute value is smaller than the preset threshold is screened from the image to be processed, including: determining the integrity of an image to be processed, and acquiring an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining that the image to be processed is a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold value; and if the definition is smaller than the definition threshold value, determining that the image to be processed is a problem image.
Optionally, the method further includes: determining the problem type of the problem image, and adding corresponding problem description information to the problem image according to the problem type; and acquiring an image code value of the problem image, and sending the problem description information to the user side according to the image code value.
Optionally, displaying the problem image at the target position in a preset display manner according to the code value identifier, including: determining the display sequence of the images to be processed; taking the image to be processed which is not determined as the problem image as a qualified image; determining the display mode of the qualified image as an original image mode, and determining the display mode of the problem image as a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
According to a second aspect of the present disclosure, there is provided a problem image determination apparatus including: the code marking processing module is used for acquiring the image to be processed uploaded at the target position and carrying out code marking processing on the image to be processed so as to add a corresponding code value identifier to the image to be processed; the problem image determining module is used for screening a problem image of which the image attribute value is smaller than a preset threshold value from the image to be processed and determining a code value identifier corresponding to the problem image; and the image display module is used for returning the code value identifier to the target position and displaying the problem image in the target position in a preset display mode according to the code value identifier.
Optionally, the problem image determining apparatus further includes an image identifier determining module, configured to obtain a storage address and an image name of the image to be processed; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
Optionally, the code processing module includes a code processing unit, configured to perform recognition processing on the image to be processed to determine a coding region of the image to be processed; and marking the image to be processed according to the image identifier and the coding area, and adding a code value identifier for the image to be processed.
Optionally, the code processing unit includes an identifier adding subunit, configured to determine an image code value of the image to be processed according to the image identifier, and determine a code value display pattern of the image code value; and adding the image code value to the coding area according to the code value display pattern, and adding a code value identifier for the image to be processed.
Optionally, the problem image determining module includes a problem image determining unit, configured to determine integrity of the image to be processed, and obtain an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining that the image to be processed is a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold value; and if the definition is smaller than the definition threshold value, determining that the image to be processed is a problem image.
Optionally, the problem image determining apparatus further includes a problem information adding module, configured to determine a problem type of the problem image, and add corresponding problem description information to the problem image according to the problem type; and acquiring an image code value of the problem image, and sending the problem description information to the user side according to the image code value.
Optionally, the image display module includes an image display unit, configured to determine a display order of the images to be processed; taking the image to be processed which is not determined as the problem image as a qualified image; determining the display mode of the qualified image as an original image mode, and determining the display mode of the problem image as a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
According to a third aspect of the present disclosure, there is provided a problem image determination system comprising: the image uploading terminal is used for providing a target position for uploading the image to be processed; the interactive server is used for acquiring the image to be processed and carrying out code marking processing on the image to be processed so as to add a corresponding code value identifier to the image to be processed; and the service processing server is used for screening the problem images from the images to be processed, sending the problem images to the image uploading terminal through the interaction server, and displaying the problem images at the target position according to a preset display mode.
According to a fourth aspect of the present disclosure, there is provided an electronic device comprising: a processor; and a memory having computer readable instructions stored thereon which, when executed by the processor, implement the problem image determination method according to any of the above.
According to a fifth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a problem image determination method according to any one of the above.
The technical scheme provided by the disclosure can comprise the following beneficial effects:
according to the problem image determining method in the exemplary embodiment of the disclosure, after the image to be processed is obtained, the image to be processed may be subjected to code marking processing to generate a corresponding code value identifier, the problem image with the definition and the integrity smaller than the preset threshold value is screened out, the code value identifier of the problem image is recorded, the code value identifier is sent to the target position, and the problem image is displayed in a preset display mode. On the one hand, by means of coding processing of the image to be processed, corresponding code value identification can be added to the image to be processed, so that in the process of examining and verifying the image to be processed, the problem image is determined and the corresponding code value identification is recorded. On the other hand, the code value identification of the problem image is recorded, and the code value identification can be sent to the target position, so that the problem image needing to be displayed according to a preset display mode is determined from the multiple images to be processed at the target position through the code value identification. In another aspect, the problem image is displayed according to a preset display mode, so that the applicant can accurately position the problem image through vision so as to upload the problem image again.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
FIG. 1 schematically illustrates a flow chart of a problem image determination method according to an exemplary embodiment of the present disclosure;
FIG. 2 schematically illustrates a detailed flow chart of a problem image determination method according to an exemplary embodiment of the present disclosure;
FIG. 3 schematically illustrates a flow chart for adding code value identification to an image to be processed according to an exemplary embodiment of the present disclosure;
FIG. 4 schematically illustrates a flowchart for adding a code value identifier to an image to be processed according to an image identifier and a coding region, according to an exemplary embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart for screening problem images from images to be processed according to an exemplary embodiment of the present disclosure;
FIG. 6 schematically illustrates an architecture diagram of a problem image determination method according to an exemplary embodiment of the present disclosure;
fig. 7 schematically shows a block diagram of a problem image determination apparatus according to an exemplary embodiment of the present disclosure;
FIG. 8 schematically illustrates a block diagram of a problem image determination system according to an exemplary embodiment of the present disclosure;
FIG. 9 schematically illustrates a block diagram of an electronic device according to an exemplary embodiment of the present disclosure;
fig. 10 schematically illustrates a schematic diagram of a computer-readable storage medium according to an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in the form of software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
When an applicant applies for insurance claims, the applicant needs to upload electronic application data containing application document pictures, and the application document pictures are not only of a plurality of types, but also of a plurality of numbers. Under the condition that the picture in the electronic application data is unclear or incomplete, the problem image message is generally issued to an applicant through a system at present, and the applicant is prompted to shoot and upload the problem picture again. And after receiving the problem information, the applicant uploads the corresponding picture again in a self-service mode according to the prompt.
However, since the claims application relates to a large number of pictures and types of pictures, and the order of the pictures is not fixed, problems arise in downloading problem piece messages: (1) because the format and word number of the downlink message are limited by the short message or WeChat message platform, the problem part message cannot accurately and comprehensively reflect related contents; (2) the applicant receiving the problem piece message has difficulty in accurately positioning the problem picture in a large number of pictures according to the message description; (3) if after the applicant uploads the picture again, the situation of missing transmission exists, the examination and verification are bound to be carried out again, and problem piece information is issued.
Based on this, in the present exemplary embodiment, first, a problem image determination method is provided, which may be implemented by a server, or a terminal device, wherein the terminal described in the present disclosure may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a Personal Digital Assistant (PDA), and a fixed terminal such as a desktop computer. Fig. 1 schematically illustrates a schematic diagram of a problem image determination method flow, according to some embodiments of the present disclosure. Referring to fig. 1, the problem image determination method may include the steps of:
and step S110, acquiring the image to be processed uploaded at the target position, and performing code marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed.
And S120, screening the problem images with the image attribute values smaller than a preset threshold value from the images to be processed, and determining code value identifications corresponding to the problem images.
And S130, returning the code value identifier to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identifier.
According to the problem image determination method in the embodiment, on one hand, by performing coding processing on the image to be processed, a corresponding code value identifier can be added to the image to be processed, so that the problem image is determined and the corresponding code value identifier is recorded in the subsequent process of auditing the image to be processed. On the other hand, the code value identification of the problem image is recorded, and the code value identification can be sent to the target position, so that the problem image needing to be displayed according to a preset display mode is determined from the multiple images to be processed at the target position through the code value identification. In another aspect, the problem image is displayed according to a preset display mode, so that the applicant can accurately position the problem image through vision so as to upload the problem image again.
Next, the problem image determination method in the present exemplary embodiment will be further described.
In step S110, the to-be-processed image uploaded at the target position is acquired, and the to-be-processed image is subjected to code marking processing to add a corresponding code value identifier to the to-be-processed image.
In some exemplary embodiments of the present disclosure, the target location may be a user operation interface provided for a user to upload an image to be processed, for example, the target location may be some mobile phone software (APP) of a user terminal, a webpage for uploading an image, a server for receiving the image uploaded by the user, or a terminal device provided by the user at a real-world location and capable of submitting an image, and the like. The image to be processed may be an image that requires a series of processes such as image recognition.
In some application scenarios, when a user transacts a certain target service and the target service requires the user to upload an image, the user may upload an image to be processed through a target location. For example, the specific application scenario may be a scenario in which an insurance claim settlement user submits a claim settlement application through an internet portal of an insurance company, for example, a scenario in which the insurance claim settlement user applies for insurance claim settlement such as personal accident or property risk; or the application can be a scene that the applicant applies for some specific rights and interests through an official channel, for example, an application scene that the applicant applies for a public rental housing; it may also be a scenario where a user applies for obtaining a certain right qualification. The present disclosure is not limited in any particular way to the particular application scenario. The present exemplary embodiment is described in detail by taking an application scenario in which an insurance claim settlement user applies for an insurance claim settlement as an example.
In the application scenario of insurance claim settlement, the user needs to provide relevant electronic materials for insurance, for example, the electronic materials may include photos of identification, accident identification, etc., photos of medical records, user cases, discharge details, etc., and photos of invoices, vehicles, etc. The user can fill in user application information in sequence through user prompts provided by the target position, and upload corresponding claim settlement data pictures to submit claim settlement applications. The number of the claims data pictures can reach dozens of pictures or even hundreds of pictures, and the number of the pictures is large.
The code marking processing can be a process of performing code value labeling processing on the image to be processed. The code value identifier may be a code value added to the image to be processed to identify the image after the image to be processed is subjected to code marking. After the image to be processed is obtained, the image to be processed can be subjected to code marking processing, and a corresponding code value identifier is added to the image to be processed, so that a problem image can be determined based on the code value identifier.
According to some exemplary embodiments of the present disclosure, a storage address and an image name of an image to be processed are acquired; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name. The memory address may be the memory address where the image to be processed is located, for example, the memory address may be "// File/photo/Admin 1". The image name may be a name corresponding to the image to be processed, for example, the image name may be "111. jpg". The image identifier may be an identifier that uniquely identifies an image, and in this example embodiment, the image identifier may be a combination of a storage address and an image name, for example, the image identifier may be "// File/Photos/Admin1/111. jpg".
After the image to be processed is acquired, the storage address and the image name of the image to be processed can be determined, and the storage address and the image name are spliced and combined to generate the image identifier of the image to be processed, so that the image to be processed is subjected to coding processing based on the image identifier.
According to another exemplary embodiment of the present disclosure, an image to be processed is subjected to recognition processing to determine a coding region of the image to be processed; and marking the image to be processed according to the image identifier and the coding area, and adding a code value identifier for the image to be processed. The identification process may be a process of identifying the image to be processed by using an image identification technology, and the identification process may determine whether a specific image area in the image to be processed contains identifiable information. For example, an Optical Character Recognition (OCR) technology may be used to recognize the image to be processed. The coding region may be a region to which an image code value may be added in the image to be processed, and in order to enable the image to be processed after the coding process not to affect the subsequent image review, a region not containing identifiable information in the image to be processed may be used as the coding region, that is, a region having an image edge and no identifiable information content is selected as the coding region, so that the subsequent operation flow may not be affected. The coding process may be a process of adding a code value identifier to the image to be processed. For example, a code value identifier may be added to a corresponding image area of an image to be processed through a code marking process, so that the image is distinguished from other images through the code value identifier. The code value identification may be a code value corresponding to the image to be processed.
Referring to fig. 2, fig. 2 schematically shows a detailed flow chart of the problem image determination method. In steps S210 to S220, an applicant can add application information through a target position provided by a user operation layer, and upload an image; after receiving the image to be processed in the application information, the user interaction layer can print a code on the image to be processed, and adds a corresponding code value identifier to the image to be processed.
Referring to FIG. 3, FIG. 3 schematically illustrates a flow chart for adding a code value identification to an image to be processed. In step S310, after the image to be processed is subjected to image recognition processing, a coding region to which a code value identifier can be added may be determined in the image to be processed; in step S320, an image identifier corresponding to the image to be processed is obtained, a code value corresponding to the image to be processed is determined according to the image identifier, and a code printing process is performed on the image to be processed in the code printing region, so as to add a code value identifier to the image to be processed.
According to still another exemplary embodiment of the present disclosure, an image code value of an image to be processed is determined according to an image identifier, and a code value display pattern of the image code value is determined; and adding the image code value to the coding area according to the code value display pattern, and adding a code value identifier for the image to be processed. The image code values may be code values that identify the image as distinct from other images. In this exemplary embodiment, an arabic number may be used as an image code value, image code values corresponding to a plurality of images to be processed are sequentially determined, it is ensured that each image corresponds to a unique image code value, and after a matching relationship between an image identifier and an image code value is established, the image code values are stored in a database. For example, the matching relationship between the image identifier and the image code value may be stored in the form of a key value pair, where the image code value may be a key (key) and the image identifier may be a value (value).
The code value display pattern may be a pattern in which the image code value is displayed in the image to be processed. The code value identification can be identification for adding the image code value in a certain display mode in the image to be processed to distinguish the image to be processed from other images. For example, in the present exemplary embodiment, a graphic tool may be used to perform drawing coding on the picture. Before the coding processing is performed, a display style of the image code value may be set, for example, a corresponding text color, text size, and font type may be selected for the image code value, and the transparency of the image code value may also be adjusted.
In addition. In consideration of maintaining the originality of the image, the image to be processed may be effectively backed up before being coded, or an image layer may be added to the image, and a code value identifier is added to the image to be processed on the newly added image layer, so as to maintain the originality of the image to be processed.
Referring to fig. 4, fig. 4 schematically shows a flowchart for adding a code value identifier to an image to be processed according to an image identifier and a coding region. In step S410, determining an image code value of the image according to the image identifier, and setting a display style of the image code value; in step S420, the image code value is added to the coding region according to the code value display pattern, and the operation of adding the code value identifier to the image to be processed is completed.
In step S120, a problem image with an image attribute value smaller than a preset threshold is screened from the image to be processed, and a code value identifier corresponding to the problem image is determined.
In some exemplary embodiments of the present disclosure, the definition may reflect the definition of each detail shadow and its boundary on the image to be processed. The degree of completeness may be a numerical value reflecting the degree of completeness of the image content comprised by the image to be processed. The preset threshold may be a value for contrast with sharpness or a value for contrast with integrity. The problem image may be an image with a problem, for example, the image may include incomplete content or information, the image may have too low definition, the information included in the image may not be recognized, and the image may be classified as the problem image. And if the image attribute value of the image to be processed is smaller than the preset threshold value, the image is considered as a problem image, and a new image needs to be uploaded again through the target position to replace the image to be processed so as to perform a subsequent business process.
According to some exemplary embodiments of the present disclosure, a completeness of an image to be processed is determined, and a completeness threshold corresponding to the completeness is obtained; if the integrity is smaller than the integrity threshold, determining that the image to be processed is a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold value; and if the definition is smaller than the definition threshold value, determining that the image to be processed is a problem image. The sharpness threshold may be a value for comparison with sharpness. The integrity threshold may be a value used for comparison with integrity.
Referring to fig. 5, fig. 5 schematically shows a flow chart for screening problem images from images to be processed. In step S510, after an image to be processed is acquired, the integrity of the image may be determined, an integrity threshold corresponding to the integrity is acquired, the integrity of the image to be processed is compared with the integrity threshold, and the size relationship between the two is determined. In step S520, if the integrity is smaller than the integrity threshold, it indicates that the information content contained in the image to be processed is missing, and therefore, the image to be processed may be determined as a problem image. In step S530, if the integrity is greater than the integrity threshold, the sharpness of the image is determined, and a sharpness threshold corresponding to the sharpness is obtained. In step S540, the sharpness is compared with a sharpness threshold, and the magnitude relationship between the sharpness and the sharpness threshold is determined. In step S550, if the resolution is smaller than the resolution threshold, it indicates that the image to be processed is not clear and the information contained in the image in process cannot be accurately identified, and therefore, the image to be processed may be determined as a problem image.
According to another exemplary embodiment of the present disclosure, a question type of a question image is determined, and corresponding question description information is added to the question image according to the question type; and acquiring an image code value of the problem image, and sending the problem description information to the user side according to the image code value. The problem type may be a type corresponding to a problem in the problem image, for example, the problem type may include incomplete image, unclear image, and the like. The image code value may be a code value added to the problem image during the coding process; wherein each image to be processed corresponds to a unique image code value. The problem description information may be information describing a related problem existing in the problem image, and the problem description information corresponding to the problem image may be determined according to the problem type.
When the image is uploaded at the target position, the image can be divided into different types, for example, the image related to the identification, the image related to the accident certification, the image related to the hospitalization certification and the image related to the invoice can be uploaded from different uploading entries, so that after the image to be processed is obtained, the image content specifically contained in the image can be determined, and the problem description information can be rapidly determined according to the image type in the following process. Therefore, after a problem image is acquired, the problem type corresponding to the problem image can be determined first, and problem description information can be added to the problem image according to the problem type.
Acquiring an image code value of the problem image, establishing a corresponding relation between the image code value and the problem description information, and sending the problem description information to a user side according to the image code value, so that the user can check the problem description information through the user side, and replace, change and the like the problem image according to the problem description information. For example, the user side may be a social platform adopted by the applicant, and the problem description information is sent to the applicant through the social platform; the embodiment of the present invention does not have any special limitation on the platform corresponding to the user side, such as a short message platform, a wechat platform, and a microblog platform.
In step S130, the code value identifier is returned to the target position, and the problem image is displayed in the target position in a preset display manner according to the code value identifier.
In some exemplary embodiments of the present disclosure, the preset display mode may be a display mode corresponding to a problem image screened from the image to be processed at the target position, and the preset display mode is different from an original image pattern of the image to be processed. For example, the preset display mode may be a bright display mode; or adding numbers to the problem images and combining a highlight display mode; the problem image may be added with an image mark that can indicate that the problem image is a problem image, a display method for displaying the image mark, and the like, and the specific display mode of the preset display mode is not limited in any way in this disclosure.
After the code value identification of the problem image is returned to the target position, the determined problem image can be displayed at the target position in a preset display mode according to the code value identification, so that a user can intuitively and accurately position the problem image from a plurality of images, and the user can subsequently change or replace the problem image.
Referring to fig. 2, in step S230, the service processing layer may audit the image to be processed, determine a problem image, and record an image code value of the problem image; in step S240, the image code value and the description information of the problem image are transmitted back to the user interaction layer; in steps S250 to S260, the user interaction layer returns the image information to the user operation layer according to the image code value to display the problem image, and descends the problem description information to the applicant.
According to some exemplary embodiments of the present disclosure, a display order of images to be processed is determined; taking the image to be processed which is not determined as the problem image as a qualified image; determining the display mode of the qualified image as an original image mode, and determining the display mode of the problem image as a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
The display order may be an image display order determined according to an image upload order. When the images are uploaded at the target position, the uploading sequence of the plurality of images to be processed can be determined according to the sequence of the uploaded images, and the uploading sequence is used as the display sequence of the images to be processed. The qualified image can be an image with the definition of the image being greater than a definition threshold and the integrity of the image being greater than an integrity threshold, and the qualified image is identified to extract information contained in the image, so that the next business processing can be performed according to the extracted image information.
The original image mode can be a display mode of a corresponding image to be processed after the image uploading operation is finished at the target position; the original image style is different from a preset display mode. For example, the original image style may be a thumbnail style corresponding to the image to be processed. After the images in the images to be processed are divided into two types of qualified images and problem images, the qualified images and the problem images can be respectively displayed in the corresponding display modes at the target positions according to the display sequence of the images to be processed. The qualified images and the problem images are displayed according to the original display sequence, and when the number of the images is large, a user can quickly determine the image content originally contained in the problem images according to the sequence between the images, so that the problem images can be accurately replaced.
Referring to fig. 6, fig. 6 schematically shows an architecture diagram of the problem image determination method. In the problem image determination method of the present disclosure, the determination process of the problem image is completed through data interaction among the user operation layer 610, the user interaction layer 620, and the service processing layer 630, and data interaction among the databases. After the applicant uploads the image to be processed through the user operation layer, the user operation layer may store the image to be processed in the database 641, and transmit the image to be processed to the user interaction layer 620; code value identification can be added to the image to be processed through the user interaction layer, and the image to be processed with the code value identification added is stored in the database 642; in the business processing layer 630, the images to be processed are checked, problem images are screened out, and image code values of the problem images are recorded and stored in the database 643. After the image code value of the problem image is determined, the image code value can be transmitted back to the user interaction layer and the user operation layer, so that the problem image is displayed on the user operation layer in a preset display method, and the problem description information of the problem image is issued through the user interaction layer.
In summary, in the problem image determination method in the exemplary embodiment of the present disclosure, an image to be processed uploaded at a target position is acquired, and a corresponding code value identifier is added to the image to be processed; screening a problem image from the image to be processed, and recording a code value identifier of the problem image; and sending the code value identification to a target position, displaying the problem image in a preset display mode, and issuing problem description information of the problem image. On one hand, the code value identification is added to the image to be processed by coding the image to be processed, so that a certain image can be determined only through the code value identification in the subsequent image auditing process. On the other hand, after the problem image is determined, the code value identification of the problem image is recorded, and the code value identification is sent to the target position, so that the problem image can be determined from a plurality of images to be processed at the target position through the code value identification, and the problem image is displayed at the target position according to a preset display mode, and therefore an applicant can accurately position the problem image from a large number of images. In another aspect, after the problem image is determined, the problem description information can be sent to a user side corresponding to the applicant, so that the applicant can accurately replace the problem image according to the problem description information; in addition, the problems of universality and the like caused by over-individuality or too much content of the problem description information can be avoided. On the other hand, after the problem image is accurately positioned by the applicant, the problem image is accurately replaced according to the problem description information, so that the service processing time can be shortened, the manpower and communication cost can be reduced, and good use experience can be brought to the user.
It is noted that although the steps of the methods of the present invention are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Further, in the present exemplary embodiment, a problem image determination apparatus is also provided. Referring to fig. 7, the problem image determining apparatus 700 may include: a code processing module 710, a question image determination module 720, and an image display module 730.
Specifically, the code marking processing module 710 may be configured to obtain an image to be processed uploaded at a target position, and perform code marking on the image to be processed to add a corresponding code value identifier to the image to be processed; the problem image determining module 720 may be configured to screen a problem image from the image to be processed, where the image attribute value is smaller than a preset threshold, and determine a code value identifier corresponding to the problem image; the image display module 730 may be configured to return the code value identifier to the target position, and display the problem image in the target position in a preset display manner according to the code value identifier.
When the problem image determining device 700 acquires an image to be processed, a corresponding code value identifier may be added to the image to be processed, after a problem image with an image attribute value smaller than a preset threshold value is screened from the image to be processed, the code value identifier of the problem image may be recorded, and the code value identifier is returned to a target position, so that the problem image is displayed at the target position in a preset display manner.
In an exemplary embodiment of the present disclosure, based on the foregoing, the problem image determination apparatus further includes an image identification determination module configured to: acquiring a storage address and an image name of an image to be processed; and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
In an exemplary embodiment of the present disclosure, based on the foregoing, the code processing module includes a code processing unit configured to: identifying the image to be processed to determine a coding area of the image to be processed; and marking the image to be processed according to the image identifier and the coding area, and adding a code value identifier for the image to be processed.
In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the mark processing unit includes an identification adding subunit configured to: determining an image code value of the image to be processed according to the image identifier, and determining a code value display mode of the image code value; and adding the image code value to the coding area according to the code value display pattern, and adding a code value identifier for the image to be processed.
In an exemplary embodiment of the present disclosure, based on the foregoing, the problem image determination module includes a problem image determination unit configured to: determining the integrity of an image to be processed, and acquiring an integrity threshold corresponding to the integrity; if the integrity is smaller than the integrity threshold, determining that the image to be processed is a problem image; if the integrity is greater than the integrity threshold, determining the definition of the image to be processed, and acquiring a definition threshold corresponding to the definition; judging whether the definition is smaller than a definition threshold value; and if the definition is smaller than the definition threshold value, determining that the image to be processed is a problem image.
In an exemplary embodiment of the present disclosure, based on the foregoing, the problem image determination apparatus further includes a problem information adding module configured to: determining the problem type of the problem image, and adding corresponding problem description information to the problem image according to the problem type; and acquiring an image code value of the problem image, and sending the problem description information to the user side according to the image code value.
In an exemplary embodiment of the present disclosure, based on the foregoing, an image display module includes an image display unit configured to: determining the display sequence of the images to be processed; taking the image to be processed which is not determined as the problem image as a qualified image; determining the display mode of the qualified image as an original image mode, and determining the display mode of the problem image as a preset display mode; the preset display mode is different from the original image mode; and displaying the qualified image and the problem image at the target position according to the display sequence.
In the present exemplary embodiment, a problem image determination system is also provided. Referring to fig. 8, the problem image determination system 800 may include an image upload terminal 810, an interaction server 820, and a business process server 830.
Specifically, the image uploading terminal 810 may be configured to provide a target location for uploading the image to be processed; the interaction server 820 may be configured to obtain an image to be processed, and perform code marking on the image to be processed to add a corresponding code value identifier to the image to be processed; the service processing server 830 may be configured to screen problem images from the images to be processed, send the problem images to the image uploading terminal through the interaction server, and display the problem images at the target position according to a preset display manner.
The problem image determination system 800 can record the code value identifier of the problem image after determining the problem image from the to-be-processed image by acquiring the to-be-processed image uploaded at the target position and adding the corresponding code value identifier for the to-be-processed image, and send the code value identifier to the target position, so that the problem image is displayed at the target position in a preset display mode according to the code value identifier. The problem images can be accurately positioned from the plurality of images by the applicant through presetting the display mode, the efficiency of whole business processing is improved, and the manpower and communication cost are saved.
The details of each virtual problem image determination device module are already described in detail in the corresponding problem image determination method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the problem image determination device are mentioned, this division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 900 according to such an embodiment of the invention is described below with reference to fig. 9. The electronic device 900 shown in fig. 9 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in fig. 9, the electronic device 900 is embodied in the form of a general purpose computing device. Components of electronic device 900 may include, but are not limited to: the at least one processing unit 910, the at least one storage unit 920, a bus 930 connecting different system components (including the storage unit 920 and the processing unit 910), and a display unit 940.
Wherein the storage unit stores program code that is executable by the processing unit 910 to cause the processing unit 910 to perform steps according to various exemplary embodiments of the present invention described in the above section "exemplary methods" of the present specification.
The storage unit 920 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)921 and/or a cache memory unit 922, and may further include a read only memory unit (ROM) 923.
The electronic device 900 may also communicate with one or more external devices 970 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 900, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 900 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interface 950. Also, the electronic device 900 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 960. As shown, the network adapter 960 communicates with the other modules of the electronic device 900 via the bus 930. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 900, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above-mentioned "exemplary methods" section of the present description, when said program product is run on the terminal device.
Referring to fig. 10, a program product 1000 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (10)
1. A problem image determination method, comprising:
acquiring an image to be processed uploaded at a target position, and performing code marking processing on the image to be processed to add a corresponding code value identifier to the image to be processed;
screening a problem image with an image attribute value smaller than a preset threshold value from the image to be processed, and determining the code value identification corresponding to the problem image;
and returning the code value identification to the target position, and displaying the problem image at the target position in a preset display mode according to the code value identification.
2. The problem image determination method according to claim 1, wherein after the acquiring of the to-be-processed image uploaded at the target position, the method further comprises:
acquiring a storage address and an image name of the image to be processed;
and generating an image identifier corresponding to the image to be processed based on the storage address and the image name.
3. The method for determining the problem image according to claim 2, wherein the coding the image to be processed to add a corresponding code value identifier to the image to be processed includes:
identifying the image to be processed to determine a coding region of the image to be processed;
and performing the code marking processing on the image to be processed according to the image identifier and the coding area, and adding the code value identifier to the image to be processed.
4. The method for determining the problem image according to claim 3, wherein the performing the coding processing on the image to be processed according to the image identifier and the coding area, and adding the code value identifier to the image to be processed includes:
determining an image code value of the image to be processed according to the image identifier, and determining a code value display mode of the image code value;
and adding the image code value to the coding area according to the code value display pattern, and adding the code value identification to the image to be processed.
5. The method for determining the problem image according to claim 1, wherein the image attribute values comprise a definition and a completeness, the preset threshold comprises a definition threshold and a completeness threshold, and the screening of the problem image with the image attribute value smaller than the preset threshold from the image to be processed comprises:
determining the integrity of the image to be processed, and acquiring the integrity threshold corresponding to the integrity;
if the integrity is smaller than the integrity threshold, determining that the image to be processed is the problem image;
if the integrity is larger than the integrity threshold, determining the definition of the image to be processed, and acquiring the definition threshold corresponding to the definition;
judging whether the definition is smaller than the definition threshold value;
and if the definition is smaller than the definition threshold, determining that the image to be processed is the problem image.
6. The problem image determination method according to claim 1 or 5, characterized in that the method further comprises:
determining the problem type of the problem image, and adding corresponding problem description information to the problem image according to the problem type;
and acquiring an image code value of the problem image, and sending the problem description information to a user side according to the image code value.
7. The method for determining the problem image according to claim 1, wherein the displaying the problem image at the target position in a preset display manner according to the code value identification comprises:
determining the display sequence of the images to be processed;
taking the image to be processed which is not determined as the problem image as a qualified image;
determining the display mode of the qualified image as an original image mode, and determining the display mode of the problem image as the preset display mode; the preset display mode is different from the original image pattern;
and displaying the qualified image and the problem image at the target position according to the display sequence.
8. A problem image determination apparatus, characterized by comprising:
the code marking processing module is used for acquiring an image to be processed uploaded at a target position and carrying out code marking processing on the image to be processed so as to add a corresponding code value identifier to the image to be processed;
the problem image determining module is used for screening a problem image of which the image attribute value is smaller than a preset threshold value from the image to be processed and determining the code value identification corresponding to the problem image;
and the image display module is used for returning the code value identifier to the target position and displaying the problem image in the target position in a preset display mode according to the code value identifier.
9. An electronic device, comprising:
a processor; and
a memory having computer readable instructions stored thereon which, when executed by the processor, implement the problem image determination method of any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out a problem image determination method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911205269.2A CN111145143B (en) | 2019-11-29 | 2019-11-29 | Problem image determining method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911205269.2A CN111145143B (en) | 2019-11-29 | 2019-11-29 | Problem image determining method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111145143A true CN111145143A (en) | 2020-05-12 |
| CN111145143B CN111145143B (en) | 2023-07-18 |
Family
ID=70517355
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911205269.2A Active CN111145143B (en) | 2019-11-29 | 2019-11-29 | Problem image determining method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111145143B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112732457A (en) * | 2020-12-30 | 2021-04-30 | 上海瑞家信息技术有限公司 | Image transmission method, image transmission device, electronic equipment and computer readable medium |
| CN115205718A (en) * | 2022-09-19 | 2022-10-18 | 西安恒歌数码科技有限责任公司 | Geographic information measuring system and measuring method thereof |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102591318A (en) * | 2010-11-10 | 2012-07-18 | 通用汽车环球科技运作有限责任公司 | Process for service diagnostic and service procedures enhancement |
| US20150286651A1 (en) * | 2014-04-04 | 2015-10-08 | Mach 1 Development, Inc. | Marked image file security system and process |
| JP2017182195A (en) * | 2016-03-28 | 2017-10-05 | コニカミノルタ株式会社 | Document correction method, document correction apparatus, document printer, image for error detection, and computer program |
| CN107507018A (en) * | 2017-07-25 | 2017-12-22 | 广州智选网络科技有限公司 | It is a kind of that method, storage device and mobile terminal are checked and write off based on image recognition technology |
| CN108996411A (en) * | 2018-08-06 | 2018-12-14 | 新疆机汇网络科技有限公司 | A kind of safety of tower crane inspection method and system based on RFID and internet |
| CN109345366A (en) * | 2018-09-17 | 2019-02-15 | 程浩 | A kind of financial affairs receipt management system and method |
| CN110060122A (en) * | 2019-03-16 | 2019-07-26 | 平安城市建设科技(深圳)有限公司 | Picture display method, device, equipment and computer readable storage medium |
-
2019
- 2019-11-29 CN CN201911205269.2A patent/CN111145143B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102591318A (en) * | 2010-11-10 | 2012-07-18 | 通用汽车环球科技运作有限责任公司 | Process for service diagnostic and service procedures enhancement |
| US20150286651A1 (en) * | 2014-04-04 | 2015-10-08 | Mach 1 Development, Inc. | Marked image file security system and process |
| JP2017182195A (en) * | 2016-03-28 | 2017-10-05 | コニカミノルタ株式会社 | Document correction method, document correction apparatus, document printer, image for error detection, and computer program |
| CN107507018A (en) * | 2017-07-25 | 2017-12-22 | 广州智选网络科技有限公司 | It is a kind of that method, storage device and mobile terminal are checked and write off based on image recognition technology |
| CN108996411A (en) * | 2018-08-06 | 2018-12-14 | 新疆机汇网络科技有限公司 | A kind of safety of tower crane inspection method and system based on RFID and internet |
| CN109345366A (en) * | 2018-09-17 | 2019-02-15 | 程浩 | A kind of financial affairs receipt management system and method |
| CN110060122A (en) * | 2019-03-16 | 2019-07-26 | 平安城市建设科技(深圳)有限公司 | Picture display method, device, equipment and computer readable storage medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112732457A (en) * | 2020-12-30 | 2021-04-30 | 上海瑞家信息技术有限公司 | Image transmission method, image transmission device, electronic equipment and computer readable medium |
| CN112732457B (en) * | 2020-12-30 | 2024-01-19 | 上海瑞家信息技术有限公司 | Image transmission method, image transmission device, electronic equipment and computer readable medium |
| CN115205718A (en) * | 2022-09-19 | 2022-10-18 | 西安恒歌数码科技有限责任公司 | Geographic information measuring system and measuring method thereof |
| CN115205718B (en) * | 2022-09-19 | 2022-12-13 | 西安恒歌数码科技有限责任公司 | Geographic information measuring system and measuring method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111145143B (en) | 2023-07-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20210049708A1 (en) | Tax document imaging and processing | |
| US9916626B2 (en) | Presentation of image of source of tax data through tax preparation application | |
| JP7025354B2 (en) | Automation of image validation | |
| CN110705235B (en) | Information input method and device for business handling, storage medium and electronic equipment | |
| CN110675234A (en) | Electronic newspaper bill generation method and electronic equipment | |
| CN111145143B (en) | Problem image determining method and device, electronic equipment and storage medium | |
| US20230316792A1 (en) | Automated generation of training data comprising document images and associated label data | |
| CN114237890A (en) | Application collaborative display method and device, server, terminal and program product | |
| CN110728593A (en) | Case planning method and device, electronic device, and storage medium | |
| US20150186758A1 (en) | Image processing device | |
| CN113590564A (en) | Data storage method and device, electronic equipment and storage medium | |
| US10970533B2 (en) | Methods and systems for finding elements in optical character recognition documents | |
| CN114115628A (en) | U shield display information acquisition method, device, equipment, medium and program product applied to U shield test | |
| CN113656301A (en) | Interface testing method, device, equipment and storage medium | |
| US10270761B2 (en) | Mobile based multi-channel citizen account origination in digital economy | |
| CN114371866A (en) | Version reconfiguration test method, device and equipment of service system | |
| US20190279127A1 (en) | Information processing apparatus, workflow test apparatus, and non-transitory computer readable medium | |
| CN111066010A (en) | Method, device, terminal, server and system for collecting files based on cloud disk | |
| US11930148B2 (en) | Using a custom printer driver to automatically electronically create, capture and manage all documents utilized in a transaction | |
| US11410441B2 (en) | Information processing apparatus and non-transitory computer readable medium | |
| CN114782058A (en) | Method and device for registering account and electronic equipment | |
| CN112035107A (en) | Method, device and equipment for editing webpage elements and storage medium | |
| CN116310423A (en) | Image recognition method, device, electronic equipment and readable storage medium | |
| CN114428609A (en) | Page file generation method and device, storage medium and electronic equipment | |
| CN111652747A (en) | Electronic policy processing method, device, equipment and computer readable storage medium |
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 |