CN114862801A - Method, system, device and storage medium for detecting display performance of medical display - Google Patents
Method, system, device and storage medium for detecting display performance of medical display Download PDFInfo
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Abstract
The invention provides a method, a system, a device and a storage medium for detecting the display performance of a medical display, wherein the detection method comprises the following steps: acquiring a characteristic image which is acquired from a display to be tested and is preprocessed by an image processing technology; calculating and analyzing the preprocessed characteristic image to obtain a gray characteristic value of the characteristic image, wherein the gray characteristic value comprises a gray ratio and a gray difference value; and comparing errors according to a preset display performance evaluation standard and a preset gray characteristic value, and judging a detection result. The method is based on the gray scale ratio and the gray scale difference value of the image to be detected, and carries out error comparison on the gray scale ratio and the gray scale difference value with the display performance evaluation standard which is formulated by the standard image, so that the method can accurately and quickly detect the places which do not meet the image quality requirement in the test image, and provides a better solution for the display performance detection in the production process of the display.
Description
Technical Field
The invention relates to a method, a system and a device for detecting display performance of a medical display and a storage medium, belonging to the field of display detection.
Background
With the rapid development of hospital digitization and the growing maturity and popularity of Picture Archiving and Communication Systems (PACS), image diagnosis gradually changes from traditional hard copy reading to soft copy reading, and the accuracy of diagnosis depends on image information displayed by a medical display to a great extent. Therefore, the quality of display of the display is more and more emphasized, and the AAPM TG18 and TG270 standards provide reference standards for the image quality of the medical display and establish test images for the performance parameters of the display.
At present, the display performance detection process of the medical display is finished by means of manual visual detection, and aiming at the problems of low automation degree, long time consumption and the like of the display performance detection of the current display, the display performance detection device and the display performance detection method of the medical display are designed.
Disclosure of Invention
The invention aims to provide a method, a system, a device and a storage medium for detecting the display performance of a medical display, which can accurately and quickly detect the places which do not meet the image quality requirement in a test picture and provide a better solution for detecting the display performance in the production process of the display.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for detecting the display performance of a medical display comprises the following steps:
acquiring a characteristic image which is acquired from a display to be tested and is preprocessed by an image processing technology;
calculating and analyzing the preprocessed characteristic image to obtain a gray characteristic value of the characteristic image, wherein the gray characteristic value comprises a gray ratio and a gray difference value;
and comparing errors according to a preset display performance evaluation standard and a preset gray characteristic value, and judging a detection result.
Further, the image processing technique preprocessing comprises the following steps:
converting the collected test image into a geometric correction image through geometric transformation;
converting the geometric correction image into a normalized image according to a linear relation between imaging photosensitive pixels and incident light intensity;
and extracting a region to be detected from the normalized image through canny edge detection to obtain a characteristic image.
Further, the setting method of the display performance evaluation criterion includes:
acquiring a standard image;
performing image segmentation processing on the standard image to obtain a standard image data set;
and labeling the detection content of the standard image data set to obtain a display performance evaluation standard.
Further, the standard image includes an image provided in the AAPM-TG18 standard and/or the TG270 standard.
Further, performing computational analysis on the preprocessed feature images, including:
the feature image is segmented into a plurality of unit images through an image segmentation technology, the unit images are segmented into binary images comprising a foreground and a background by using a binary threshold segmentation, and a segmentation calculation formula of the binary images comprises:
(1) where T is a threshold value for segmentation, and f (x, y) is a pixel value with image coordinates (x, y);
after the unit image is divided into the binary image, the gray scale ratio is calculated, specifically as follows:
(2) in the formula, N (1) is the number of pixels with a pixel value of 1, N (0) is the number of pixels with a pixel value of 0, S (character) is the area occupied by the character in the test area image, S (intercepting area) is the area in the intercepted test area image, and delta is a preset area error range;
performing gray difference calculation, specifically as follows:
ΔG＝∑G background /N Background -∑G Prospect of the design /N Background ， (3)
In the formula, Delta G is the gray scale difference between the foreground and the background of the characteristic image, and Sigma G Prospect of Is the sum of the gray values of all pixels in the foreground, SIG G Background Is the sum of the gray values of all pixels in the background, N Prospect of And N Background The number of pixels contained for the foreground and background.
Further, comparing errors according to a preset display performance evaluation standard and a preset gray characteristic value, and judging a detection result, including judging the detection result by the formula (4), specifically as follows:
(4) in the formula,. DELTA.G Practice of Is the gray scale difference between the foreground and the background in the standard image,
is a preset gray scale error range;
if the above formula condition is satisfied, the performance of the display to be tested is judged to be in accordance with the standard, otherwise, the performance of the display to be tested is not in accordance with the standard.
It is a second object of the present invention to provide a system for detecting display performance of a medical display, comprising:
the acquisition module is used for acquiring a test image displayed on a display to be tested and preprocessing the test image through an image processing technology to obtain a characteristic image;
the image processing module is used for acquiring the characteristic image output by the acquisition module and calculating and analyzing the characteristic image to obtain a gray characteristic value of the characteristic image; the gray characteristic value comprises a gray ratio and a gray difference value;
and the test module is used for carrying out error comparison on the gray characteristic value of the characteristic image and a preset display performance evaluation standard and judging a detection result.
Further, the acquisition module comprises a CCD camera.
The third purpose of the invention is to provide a device for detecting the display performance of a medical display, which comprises a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is used for operating according to the instruction to execute the detection method of the display performance of the medical display.
It is a fourth object of the present invention to provide a computer-readable storage medium having stored thereon a computer program for the method for detecting display performance of the medical display.
Compared with the prior art, the invention has the following beneficial effects:
the method is based on the gray scale ratio and the gray scale difference value of the image to be detected, and carries out error comparison on the gray scale ratio and the gray scale difference value with the display performance evaluation standard which is formulated by the standard image, so that the method can accurately and quickly detect the places which do not meet the image quality requirement in the test image, and provides a better solution for the display performance detection in the production process of the display.
Drawings
FIG. 1 is a flow chart of a method for detecting display performance of a medical display according to the present invention;
FIG. 2 is a schematic diagram of the connection of a medical display performance testing system according to the present invention;
FIG. 3 is a schematic diagram illustrating the effect of the method for detecting the display performance of the medical display according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Example 1
As shown in fig. 1, the present embodiment provides a method for detecting display performance of a medical display, which mainly includes the following stages:
and (3) standard construction stage: presetting a display performance evaluation standard of a display;
and (3) a testing stage: acquiring a test image acquired from a display to be tested, and preprocessing, calculating and analyzing to obtain a gray characteristic value of the image;
and a result comparison stage: and comparing errors according to the display performance evaluation standard and the gray characteristic value, and judging the detection result.
Firstly, making an evaluation standard of display performance
Acquiring a standard image, wherein the standard image comprises an image provided in an AAPM-TG18 standard and/or a TG270 standard;
performing image segmentation processing on the standard image to obtain a standard image data set;
labeling the detection content of the standard image data set to obtain a display performance evaluation standard; the marked detection content is divided by a gray scale ratio and a gray scale difference value, different areas are marked, the difference between the display content and the actual content is compared, and an error range of the gray scale ratio and an error range of the gray scale difference value are formulated. The display performance evaluation standard is evaluated by a preset error standard of a gray characteristic value, and is defined as: 0-255(8bit) is divided into 2 gray scale ranges 0-128 and 129-255, and gray scale differences of plus and minus 1 are allowed in the ranges of 0-128 and 129-255.
Second, sampling test
Acquiring a characteristic image which is acquired from a display to be tested and is preprocessed by an image processing technology;
calculating and analyzing the preprocessed characteristic image to obtain a gray characteristic value of the characteristic image, wherein the gray characteristic value comprises a gray ratio and a gray difference value;
and comparing errors according to a preset display performance evaluation standard and a preset gray characteristic value, and judging a detection result.
The image processing technology preprocessing comprises the following steps:
converting the collected test image into a geometric correction image through geometric transformation;
converting the geometric correction image into a normalized image according to a linear relation between imaging photosensitive pixels and incident light intensity;
the region to be detected is extracted from the normalized image by canny edge detection to obtain a feature image, as shown in 3a of fig. 3.
Performing computational analysis on the preprocessed feature images, wherein the computational analysis comprises the following steps:
as shown in fig. 3b, the feature image is segmented into a plurality of unit images by an image segmentation technique, and the unit images are segmented into binary images including foreground and background by using binary threshold segmentation on the unit images, and a segmentation calculation formula of the binary images includes:
(1) where T is a threshold value for segmentation, and f (x, y) is a pixel value with image coordinates (x, y);
after the unit image is divided into the binary image, the gray scale ratio is calculated, specifically as follows:
(2) in the formula, N (1) is the number of pixels with a pixel value of 1, N (0) is the number of pixels with a pixel value of 0, S (character) is the area occupied by the character in the test area image, S (intercepting area) is the area in the intercepted test area image, delta is a preset area error range, and the delta is 0 under the condition that the displayed image has no geometric distortion;
performing gray difference calculation, specifically as follows:
ΔG＝∑G background /N Background -∑G Prospect of /N Background ， (3)
In the formula, Delta G is the gray scale difference between the foreground and the background of the characteristic image, and Sigma G Prospect of Is the sum of the gray values of all pixels in the foreground, SIG G Background Is the sum of the gray values of all pixels in the background, N Prospect of And N Background The number of pixels contained for the foreground and background.
And comparing errors according to a preset display performance evaluation standard and a preset gray characteristic value, and judging a detection result, wherein the judgment of the detection result through the formula (4) is specifically as follows:
(4) in the formula,. DELTA.G Practice of Is the gray scale difference between the foreground and the background in the standard image,
is a preset gray scale error range; 0-255(8bit) is divided into 2 gray scale ranges 0-128 and 129-255, and gray scale differences of plus and minus 1 are allowed in the ranges of 0-128 and 129-255.
If the above formula condition is satisfied, the performance of the display to be tested is judged to be in accordance with the standard, otherwise, the performance of the display to be tested is not in accordance with the standard.
Example 2
The embodiment provides a system for detecting display performance of a medical display, which comprises the following functional modules:
the acquisition module is used for acquiring a test image displayed on a display to be tested and preprocessing the test image through an image processing technology to obtain a characteristic image;
the image processing module is used for acquiring the characteristic image output by the acquisition module and calculating and analyzing the characteristic image to obtain a gray characteristic value of the characteristic image; the gray characteristic values comprise gray ratios and gray difference values;
and the test module is used for comparing the gray characteristic value of the characteristic image with a preset display performance evaluation standard in an error manner and judging a detection result.
The acquisition module adopts a CCD camera, executes the functions of the image processing module and the test module through an upper computer in communication connection with the CCD camera, the upper computer provided with software is connected with the CCD camera through a USB serial port, and the upper computer is connected with a medical display to be tested through a USB serial port and a signal line (DVI/DP/DVI). The upper computer provided with the upper computer software transmits a test image to the medical display to be tested, and the test image is displayed on the display in an equal-scale scaling manner; the upper computer provided with software controls the CCD camera to collect the image displayed by the medical display to be tested, transmits the image data to the upper computer through the serial port, and performs data processing by the software in the upper computer,
example 3
As shown in fig. 2, the present embodiment provides an apparatus for detecting display performance of a medical display, including a processor and a storage medium;
the storage medium is to store instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method of:
collecting a test image displayed on a display to be tested, and preprocessing the test image through an image processing technology to obtain a characteristic image;
acquiring a characteristic image output by an acquisition module, and calculating and analyzing the characteristic image to obtain a gray characteristic value of the characteristic image; the gray characteristic values comprise gray ratios and gray difference values;
and comparing the gray characteristic value of the characteristic image with a preset display performance evaluation standard to judge the detection result.
Example 4
The present embodiment provides a computer-readable storage medium, on which a computer program is stored which, when executed by a processor, performs the steps of:
collecting a test image displayed on a display to be tested, and preprocessing the test image through an image processing technology to obtain a characteristic image;
acquiring a characteristic image output by an acquisition module, and calculating and analyzing the characteristic image to obtain a gray characteristic value of the characteristic image; the gray characteristic value comprises a gray ratio and a gray difference value;
and comparing the gray characteristic value of the characteristic image with a preset display performance evaluation standard to judge the detection result.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A method for detecting the display performance of a medical display is characterized by comprising the following steps:
acquiring a characteristic image which is acquired from a display to be tested and is preprocessed by an image processing technology;
calculating and analyzing the preprocessed characteristic image to obtain a gray characteristic value of the characteristic image, wherein the gray characteristic value comprises a gray ratio and a gray difference value;
and comparing errors according to a preset display performance evaluation standard and a preset gray characteristic value, and judging a detection result.
2. The method for detecting the display performance of the medical display according to claim 1, wherein the image processing technology preprocessing comprises the following steps:
converting the collected test image into a geometric correction image through geometric transformation;
converting the geometric correction image into a normalized image according to a linear relation between imaging photosensitive pixels and incident light intensity;
and extracting the area to be detected from the normalized image through canny edge detection to obtain a characteristic image.
3. The method for detecting the display performance of the medical display according to claim 1, wherein the method for setting the evaluation criterion of the display performance comprises the following steps:
acquiring a standard image;
performing image segmentation processing on the standard image to obtain a standard image data set;
and labeling the detection content of the standard image data set to obtain a display performance evaluation standard.
4. The method for detecting the display performance of a medical display according to claim 3, wherein the standard image comprises an image provided in AAPM-TG18 standard and/or TG270 standard.
5. The method for detecting the display performance of the medical display according to claim 1, wherein the performing of the computational analysis on the preprocessed feature images comprises:
the feature image is segmented into a plurality of unit images through an image segmentation technology, the unit images are segmented into binary images comprising a foreground and a background by using a binary threshold segmentation, and a segmentation calculation formula of the binary images comprises:
(1) where T is a threshold value for segmentation, and f (x, y) is a pixel value with image coordinates (x, y);
after the unit image is divided into the binary image, the gray scale ratio is calculated, specifically as follows:
(2) in the formula, N (1) is the number of pixels with a pixel value of 1, N (0) is the number of pixels with a pixel value of 0, S (character) is the area occupied by the character in the test area image, S (intercepted area) is the area in the intercepted test area image, and delta is a preset area error range;
performing gray difference calculation, specifically as follows:
ΔG＝∑G background /N Background -∑G Prospect of /N Background ， (3)
Wherein, Delta G is the gray difference between the foreground and the background of the characteristic image, Sigma G Prospect of Is the sum of the gray values of all pixels in the foreground, SIG G Background Is the sum of the gray values of all pixels in the background, N Prospect of And N Background The number of pixels contained for the foreground and background.
6. The method for detecting the display performance of the medical display according to claim 5, wherein the determining the detection result by comparing the error according to the preset evaluation criterion of the display performance and the gray characteristic value comprises determining the detection result by the formula (4), specifically as follows:
(4) in the formula,. DELTA.G Practice of Is the gray scale difference between the foreground and the background in the standard image,
is a preset gray scale error range;
if the above formula condition is satisfied, the performance of the display to be tested is judged to be in accordance with the standard, otherwise, the performance of the display to be tested is not in accordance with the standard.
7. A system for detecting display performance of a medical display, comprising:
the acquisition module is used for acquiring a test image displayed on a display to be tested and preprocessing the test image through an image processing technology to obtain a characteristic image;
the image processing module is used for acquiring the characteristic image output by the acquisition module and calculating and analyzing the characteristic image to obtain a gray characteristic value of the characteristic image; the gray characteristic value comprises a gray ratio and a gray difference value;
and the test module is used for comparing the gray characteristic value of the characteristic image with a preset display performance evaluation standard in an error manner and judging a detection result.
8. The system of claim 7, wherein the acquisition module comprises a CCD camera.
9. The device for detecting the display performance of the medical display is characterized by comprising a processor and a storage medium;
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform a method of detecting display performance of the medical display according to any one of claims 1-6.
10. A computer-readable storage medium having a computer program stored thereon for implementing the method of detecting the display performance of a medical display according to any one of claims 1 to 6.
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