CN114596371A - Pseudo-color relation generation and analysis method for medical PNG image - Google Patents

Pseudo-color relation generation and analysis method for medical PNG image Download PDF

Info

Publication number
CN114596371A
CN114596371A CN202210217586.1A CN202210217586A CN114596371A CN 114596371 A CN114596371 A CN 114596371A CN 202210217586 A CN202210217586 A CN 202210217586A CN 114596371 A CN114596371 A CN 114596371A
Authority
CN
China
Prior art keywords
image
pseudo
color
png
relation table
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.)
Pending
Application number
CN202210217586.1A
Other languages
Chinese (zh)
Inventor
李娜
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.)
Jiangsu Sinogram Medical Technology Co ltd
Original Assignee
Jiangsu Sinogram Medical Technology Co ltd
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 Jiangsu Sinogram Medical Technology Co ltd filed Critical Jiangsu Sinogram Medical Technology Co ltd
Priority to CN202210217586.1A priority Critical patent/CN114596371A/en
Publication of CN114596371A publication Critical patent/CN114596371A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/80—Information retrieval; Database structures therefor; File system structures therefor of semi-structured data, e.g. markup language structured data such as SGML, XML or HTML
    • G06F16/81—Indexing, e.g. XML tags; Data structures therefor; Storage structures
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

The application relates to a method for generating and analyzing a pseudo-color relationship of a medical PNG image, which comprises the following steps: when an image storage instruction triggered by a user is received, extracting information of a pseudo color image displayed on a current window, and extracting a mapping relation table of the pseudo color image, wherein the mapping relation table is an RGB mapping information table of mapping a gray image to the pseudo color image; storing the extracted information of the pseudo color image and the mapping relation table according to a predefined storage rule; and reading the stored PNG format image to obtain the PNG format image with the mapping relation table. Based on the generated PNG image, if an analysis instruction of a user is received, reversely acquiring a mapping relation table in the PNG image according to a predefined storage rule of the PNG image; and applying the mapping relation table to the DICOM-format gray scale image. The method avoids the fact that the pseudo-color effect graph in the PNG format and the pseudo-color relation table are stored separately, enhances the visualization of the pseudo-color relation table, and encrypts the pseudo-color relation table.

Description

Pseudo-color relation generation and analysis method for medical PNG image
Technical Field
The application belongs to the technical field of image processing, and particularly relates to a pseudo-color relationship generation and analysis method for a medical PNG image.
Background
Gray scale images are widely used in the fields of medicine and image recognition, and are black and white images, which generally range from 0 to 255, and the color values of pixels are gray scale values. Two-dimensional medical images are usually displayed in gray scale images, but human eyes are insensitive to the gray scale images, so in order to better observe the images, medical software mostly adopts a pseudo-color display method to process the images, namely, the gray scale images are converted into color images, and the color images can identify many other details relative to the gray scale images, so that the distinguishability is strong. The gray level image mapped by the color image is used for mapping and displaying gray level differences which are not convenient for human eyes to be distinguished into the color image with obvious differences, which is an image enhancement technology with obvious visual effect but not very complicated technology.
The pseudo color of the image is the mapping relation from the gray image to the color image. And storing the data in a file in a form of a relational table so as to facilitate reading and analysis of application software. The medical software is provided with effect images corresponding to the pseudo colors, the images are used for effect display when the pseudo colors are selected on a software interface, and each pseudo color effect image is in one-to-one correspondence with a pseudo color relation table file. Because the one-to-one correspondence between the two is required to be ensured, a storage structure with the correspondence between the two is required, the time overhead of software in the aspect is increased, and if a pseudo-color effect graph exists or a pseudo-color relation table is lost due to unexpected operation, the problem of reading errors is generated, and sometimes the situation of software initialization errors occurs.
In view of this, a method for generating and analyzing the pseudo-color relationship of the medical PNG image is provided, which realizes the visualization enhancement of the pseudo-color relationship table and the encryption of the pseudo-color relationship table.
Disclosure of Invention
Technical problem to be solved
In view of the above disadvantages and shortcomings of the prior art, the present application provides a method for generating and analyzing pseudo-color relationship of medical PNG images.
(II) technical scheme
In order to achieve the purpose, the technical scheme is as follows:
in a first aspect, the present application provides a method for generating a pseudo-color relationship of a medical PNG image, comprising:
s10, when an image storage instruction triggered by a user is received, extracting information of a pseudo color image displayed in a current window, and extracting a mapping relation table of the pseudo color image;
the mapping relation table is an RGB mapping information table for mapping the gray level image to the pseudo color image;
s20, storing the extracted information of the pseudo color image and the mapping relation table according to a predefined storage rule;
and S30, reading the stored PNG format image to obtain the PNG format image with the mapping relation table.
Optionally, the information of the pseudo color image is RGB color pixels obtained after the pseudo color image displayed in the current window is intercepted.
Optionally, the S20 includes: and writing the RGB color pixels into an IDAT data block and a PHYS data block of the PNG image format, and writing the mapping relation table into a TEXT data block to obtain a stored PNG format image.
Optionally, the size of the PNG format image is adjusted according to the resolution of the truncated RGB color pixels.
Optionally, the stored PNG format image is verified.
Optionally, the S10 further includes: and after a user starts the medical image software in the DICOM format, displaying the pseudo-color image in the current window, wherein the mapping relation table is generated in the process of generating the gray-scale image into the pseudo-color image for the medical image software.
In a second aspect, the present application provides a pseudo-color relationship analysis method for a medical PNG image, including:
based on the PNG image generated by the pseudo-color relationship generation method of the medical PNG image, in the window display process, if an analysis instruction of a user is received, reversely acquiring a mapping relationship table in the PNG image according to a predefined storage rule of the PNG image; and applying the mapping relation table to the DICOM-format gray scale image.
Optionally, the information in the TEXT data block is read and stored as a relational table in an XML format.
In a third aspect, the present application provides a pseudo-color relationship generation system for medical PNG images, comprising:
the extraction module is used for extracting the information of the pseudo-color image displayed on the current window when receiving an image storage instruction triggered by a user and extracting a mapping relation table of the pseudo-color image, wherein the mapping relation table is an RGB mapping information table of mapping the gray image to the pseudo-color image;
the storage module is used for storing the extracted information of the pseudo color image and the mapping relation table according to a predefined storage rule;
the reading module is used for reading the stored PNG format image to obtain the PNG format image with the mapping relation table.
In a fourth aspect, the present application provides a pseudo-color relationship analysis system for medical PNG images, comprising:
the analysis module is used for reversely acquiring a mapping relation table in the PNG image according to a predefined storage rule of the PNG image if an analysis instruction of a user is received in the window display process of the PNG image generated by the pseudo-color relation generation method based on the medical PNG image; and applying the mapping relation table to the DICOM-format gray scale image.
(III) advantageous effects
Firstly, the method and the system avoid the separate storage of the pseudo color effect graph in the PNG format and the pseudo color relation table, enhance the visualization of the pseudo color relation table and encrypt the pseudo color relation table at the same time.
Secondly, the pseudo-color effect picture and the pseudo-color relation table are synthesized into a new pseudo-color effect picture in the PNG format. The synthesized new pseudo-color effect graph can be used as a normal PNG image to be loaded and displayed in software or be identified and read by software supporting PNG image display, the pseudo-color preset effect can be quickly seen, and a pseudo-color relation table does not need to be viewed, so that the visualization of the pseudo-color relation table is enhanced.
Finally, the PNG analyzing and synthesizing system with the pseudo-color relation table can be integrated into software as a software module to read the pseudo-color relation table, the pseudo-color relation table is applied to the functions of pseudo-color setting and the like of medical software, and the pseudo-color relation table can be accurately analyzed only by the software integrating the synthesizing system, which is equivalent to the fact that the pseudo-color relation table is encrypted.
Drawings
The application is described with the aid of the following figures:
FIG. 1 is a schematic flow chart of a pseudo-color relationship generation method for a medical PNG image;
FIG. 2 is a diagram of the data block organization in the PNG format specification;
FIG. 3 is a PNG formatted human brain image with a mapping table;
FIG. 4 is a schematic diagram of a pseudo-color relationship generation and analysis system module of a medical PNG image.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings. It is to be understood that the following specific examples are illustrative of the invention only and are not to be construed as limiting the invention. In addition, it should be noted that, in the case of no conflict, the embodiments and features in the embodiments in the present application may be combined with each other; for convenience of description, only portions related to the invention are shown in the drawings.
An embodiment provides a method for generating and analyzing a pseudo-color relationship of a medical PNG image, which is shown in fig. 1 and specifically includes:
s10, when an image storage instruction triggered by a user is received, extracting information of a pseudo color image displayed in a current window, and extracting a mapping relation table of the pseudo color image;
in this embodiment, the mapping relation table is an RGB mapping information table in which the gray-scale image is mapped to the pseudo-color image, and the structure of the mapping relation table is an organization structure manner of an XML file.
Based on the above step S10, in a specific processing procedure, RGB color pixels obtained after the pseudo color image displayed by the current window is cut out need to be used as information of the pseudo color image.
Based on the step S10, in a specific processing procedure, after the user starts the medical image software in DICOM format, the pseudo color image is displayed in the current window; in addition, the mapping relation table is generated in the process of generating the gray-scale image into the pseudo-color image for the medical image software.
In this embodiment, for better understanding, an alternative process includes: when an application program for browsing medical data images is started, loading a software module capable of processing PNG images with a pseudo-color relation table; specifically, the software module can be used for generating the PNG image with the pseudo-color relation table.
And when the user browses the medical data image by using the application program, the application program displays the medical data image with the gray scale in the browsing window, and performs pseudo color mapping when the image is displayed. When a user needs to display a pseudo-color mapping relation used when medical image data displayed by a current window is displayed, intercepting an image of the current display window based on an application program, and acquiring RGB color pixels, specifically an array RGB [ length ] [3] of an int data type, wherein the numerical value of length is determined through the width and height of the display window, and specifically is as follows: length is the width of the window by the height of the window; the acquired RGB color pixels are taken as information of a pseudo color image.
S20, storing the extracted information of the pseudo color image and the mapping relation table according to a predefined storage rule;
based on the step S20, in a specific processing procedure, the intercepted image of the current display window needs to be analyzed to obtain all data blocks in the PNG image format, where the data blocks are shown in fig. 2 and specifically include an IDAT data block and a PHYS data block; in addition, a TEXT data block needs to be added to the PNG structure.
Based on the above step S20, in the specific processing procedure, RGB color pixels need to be written into the IDAT data block and the PHYS data block in the PNG image format, and the mapping relationship table needs to be written into the TEXT data block, so as to obtain the stored PNG format image.
Based on the above step S20, in the specific processing procedure, the size of the PNG format image needs to be adjusted in accordance with the resolution of the clipped RGB color pixels.
And S30, reading the stored PNG format image to obtain the PNG format image with the mapping relation table.
In the present embodiment, the stored PNG format image needs to be verified.
In this embodiment, after the PNG format image is verified, all data blocks including the processed IDAT data block, the PHYS data block, and the TEXT data block are sequentially saved in the same file, the suffix name of the file is modified into PNG, and the modified suffix file is saved in the local path of the computer.
And reading the saved file to obtain the image in the PNG format with the mapping relation table, such as: the obtained PNG format image with the mapping table based on the human brain is shown in fig. 3.
In the above method for generating a pseudo-color relationship of a medical PNG image, a pseudo-color relationship analysis method matching the above generation method is disclosed as follows:
in this embodiment, based on the PNG image generated by the pseudo-color relationship generation method for a medical PNG image, in the window display process, if an analysis instruction of a user is received, a mapping relationship table in the PNG image is reversely obtained according to a predefined storage rule of the PNG image; specifically, one optional processing manner is: and reading the information in the TEXT data block and storing the information as a relational table in an XML format.
In this embodiment, the mapping relationship table obtained in the reverse direction is applied to the DICOM-format grayscale image.
Based on the pseudo-color relationship analysis method disclosed by the application, an optional processing process comprises the following steps:
1) when an application program for browsing medical data images is started, loading a software module capable of processing PNG images with a pseudo-color relation table; specifically, the software module can be used for analyzing the PNG image with the pseudo-color relation table.
2) The PNG image is loaded according to the path specified by the application program, and in the present embodiment, the display content of the pseudo-color effect is represented by the PNG image.
3) Judging the PNG image loaded to the application program, and judging whether the PNG image has a pseudo-color relation table or not; the judging process specifically comprises the following steps: analyzing all data blocks of the PNG image format, judging whether a TEXT data block exists in the data blocks based on the analyzed data blocks, and judging whether an organization structure of an XML file exists in the TEXT data block if the TEXT data block exists; if the analyzed data block contains a TEXT data block and the organizational structure of the XML file is stored in the TEXT data block, the PNG image is provided with a pseudo-color relation table, otherwise, the PNG image is not provided with the pseudo-color relation table, and the PNG image is a conventional PNG image.
4) If the PNG image loaded by the application program is a conventional PNG image, acquiring the physical pixel size stored in the PHYS data block according to the PNG image format specification, and taking the physical pixel size as the numerical value of the image data length; acquiring image data in the IDAT data block, and analyzing the image data into RGB color pixels, specifically an array RGB [ length ] [3] of an int data type; and transmitting the analyzed RGB color pixels to a related display structure in the display interface.
5) And if the PNG image loaded by the application program has the pseudo-color relation table, reading data stored in the TEXT data block, analyzing a mapping relation table according to an XML file organization structure, and transmitting the mapping relation table to the gray level image display module. After the mapping relation table is analyzed, according to the method in the step 4), the IDAT data block of the PNG image is analyzed, and the analyzed RGB color pixels are transmitted to the related display structure in the display interface.
By the method of the first embodiment, the pseudo-color effect graph in the PNG format is prevented from being stored separately from the pseudo-color relation table, the visualization of the pseudo-color relation table is enhanced, and meanwhile the pseudo-color relation table is encrypted.
Specifically, by the method described in the first embodiment, the pseudo color effect graph and the pseudo color relation table are synthesized into a new pseudo color effect graph in the PNG format. Based on the synthesized new pseudo-color effect graph, the pseudo-color effect graph can be used as a normal PNG image to be loaded and displayed in software or be identified and read by software supporting PNG image display, the pseudo-color preset effect can be quickly seen, and a pseudo-color relation table does not need to be seen, so that the visualization of the pseudo-color relation table is enhanced.
An embodiment provides a pseudo-color relationship generation and analysis system for a medical PNG image, which is shown in fig. 4 and specifically includes:
the pseudo-color relationship generation system includes:
the extraction module is used for extracting the information of the pseudo color image displayed on the current window when receiving an image storage instruction triggered by a user and extracting a mapping relation table of the pseudo color image, wherein the mapping relation table is an RGB mapping information table of mapping the gray level image to the pseudo color image;
the storage module is used for storing the extracted information of the pseudo-color image and the mapping relation table according to a predefined storage rule;
and the reading module is used for reading the stored PNG format image to obtain the PNG format image with the mapping relation table.
The pseudo-color relationship analysis system comprises:
the analysis module is used for reversely acquiring a mapping relation table in the PNG image according to a predefined storage rule of the PNG image if an analysis instruction of a user is received in the window display process based on the PNG image generated by the pseudo-color relation generation system; and applying the mapping relation table to the DICOM-format gray scale image.
Establishing a pseudo-color relationship generation and analysis system according to the second embodiment based on the pseudo-color relationship generation and analysis method of the medical PNG image, and integrating the pseudo-color relationship generation and analysis system into an application program by taking the pseudo-color relationship generation and analysis system as a software module; the pseudo-color relation table is read by the application program and is applied to the functions of pseudo-color setting and the like of medical software, and the corresponding pseudo-color relation table can be correctly analyzed only by the application program integrating the generation system, which is also equivalent to encrypting the pseudo-color relation table.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. Furthermore, it should be noted that in the description of the present specification, the description of the term "one embodiment", "some embodiments", "examples", "specific examples" or "some examples", etc., means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the claims should be construed to include preferred embodiments and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include such modifications and variations.

Claims (10)

1. A pseudo-color relationship generation method of a medical PNG image is characterized by comprising the following steps:
s10, when an image storage instruction triggered by a user is received, extracting information of a pseudo color image displayed in a current window, and extracting a mapping relation table of the pseudo color image;
the mapping relation table is an RGB mapping information table for mapping the gray level image to the pseudo color image;
s20, storing the extracted information of the pseudo color image and the mapping relation table according to a predefined storage rule;
and S30, reading the stored PNG format image to obtain the PNG format image with the mapping relation table.
2. The method according to claim 1, wherein the information on the pseudo-color image is RGB color pixels obtained by intercepting the pseudo-color image displayed on the current window.
3. The pseudo-color relationship generation method according to claim 2, wherein said S20 includes: and writing the RGB color pixels into an IDAT data block and a PHYS data block of the PNG image format, and writing the mapping relation table into a TEXT data block to obtain a stored PNG format image.
4. The pseudo-color relationship generation method according to claim 2, wherein the size of the PNG-format image is adjusted in accordance with the resolution of the clipped RGB color pixels.
5. The pseudo-color relationship generation method according to claim 3, wherein the stored PNG-format image is verified.
6. The pseudo-color relationship generation method according to claim 1, wherein said S10 further includes: and after a user starts the medical image software in the DICOM format, displaying the pseudo-color image in the current window, wherein the mapping relation table is generated in the process of generating the gray-scale image into the pseudo-color image for the medical image software.
7. A pseudo-color relationship analysis method of medical PNG image is characterized in that,
based on the PNG image generated by the method of any one of claims 1 to 6, in the window display process, if an analysis instruction of a user is received, reversely acquiring a mapping relation table in the PNG image according to a predefined storage rule of the PNG image; and applying the mapping relation table to the DICOM-format gray scale image.
8. The pseudo-color relationship analysis method according to claim 7, wherein if an analysis instruction from a user is received, the mapping relationship table in the PNG image is reversely obtained according to a predefined storage rule of the PNG image, and the method comprises: and reading the information in the TEXT data block and storing the information as a relational table in an XML format.
9. A system for generating a pseudo-color relationship of a medical PNG image, the system comprising:
the extraction module is used for extracting the information of the pseudo color image displayed on the current window when receiving an image storage instruction triggered by a user and extracting a mapping relation table of the pseudo color image, wherein the mapping relation table is an RGB mapping information table of mapping the gray level image to the pseudo color image;
the storage module is used for storing the extracted information of the pseudo color image and the mapping relation table according to a predefined storage rule;
the reading module is used for reading the stored PNG format image to obtain the PNG format image with the mapping relation table.
10. A pseudo-color relationship analysis system of a medical PNG image, characterized in that the analysis system comprises:
the analysis module is used for reversely acquiring a mapping relation table in the PNG image according to a predefined storage rule of the PNG image if an analysis instruction of a user is received in the window display process based on the PNG image generated by the method of any one of claims 1 to 6; and applying the mapping relation table to the DICOM-format gray scale image.
CN202210217586.1A 2022-03-07 2022-03-07 Pseudo-color relation generation and analysis method for medical PNG image Pending CN114596371A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210217586.1A CN114596371A (en) 2022-03-07 2022-03-07 Pseudo-color relation generation and analysis method for medical PNG image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210217586.1A CN114596371A (en) 2022-03-07 2022-03-07 Pseudo-color relation generation and analysis method for medical PNG image

Publications (1)

Publication Number Publication Date
CN114596371A true CN114596371A (en) 2022-06-07

Family

ID=81814793

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210217586.1A Pending CN114596371A (en) 2022-03-07 2022-03-07 Pseudo-color relation generation and analysis method for medical PNG image

Country Status (1)

Country Link
CN (1) CN114596371A (en)

Similar Documents

Publication Publication Date Title
US7606419B2 (en) Translated document image production device, recording medium and translated document image production method
US20080074432A1 (en) Method for acquiring a computer screen image
JP2005301453A (en) Medical report preparing device, medical report reference device, medical report preparing method, and program therefor
US20090006990A1 (en) Detection and preview of graphical elements within a graphic
US20100064209A1 (en) Method for transforming web page objects
US20030020726A1 (en) Method and system for displaying graphics information
DK2126720T3 (en) PROCEDURE FOR CONNECTING AN AMENDED DOCUMENT AND ORIGINAL DOCUMENT FOR COMPARISON AND PREPARATION OF DIFFERENCES
US8478035B2 (en) Method and apparatus for engaging functionality with a color tag
US10691884B2 (en) System and method for cheque image data masking using data file and template cheque image
CN114596371A (en) Pseudo-color relation generation and analysis method for medical PNG image
CN111914850B (en) Picture feature extraction method, device, server and medium
US9437162B2 (en) Image output apparatus, control method therefor, image display apparatus, control method therefor, and storage medium
US8990681B2 (en) Method for aligning a modified document and an original document for comparison and difference highlighting
CN111797434B (en) File editing method and device
CN110691239B (en) HDR display module detection method and device and electronic equipment
CN110941728B (en) Electronic file processing method and device
US20120170078A1 (en) Image processing system and method
CN114125344B (en) Video processing apparatus, video processing method, monitor device, computer device, and medium
CN114721751B (en) Window screenshot method and device, electronic equipment and storage medium
CN116245706B (en) Pixel mixing method and device for base map and png map
US12125148B2 (en) System and methods for providing invisible augmented reality markers
EP4354453A1 (en) Communicating medical image data
CN111862248B (en) Method and device for outputting information
US8473856B2 (en) Information processing apparatus, information processing method, and information processing program
GB2558236A (en) Image processing

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