A method and system for detecting exposure areas in image pictures
A technology in the exposure area and pictures, which is applied in the field of imaging, can solve the problems of brightness differences in original images, details and brightness balance can not be well displayed, and the influence of doctors' diagnosis, etc.
Active Publication Date: 2017-12-29
SHENZHEN ANGELL TECH
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Problems solved by technology
[0002] In the process of DR image acquisition, due to the inappropriate selection of the dose of breath selected by the doctor's experience level, the stability of the hardware of the DR equipment, and the difference in the density of different patients, the original image collected has obvious brightness. At this time, if the image post-processing process uses the same parameters, the post-processed image cannot ensure the effect of brightness and contrast, and the details and brightness balance cannot be well displayed, which will have a great impact on the doctor's diagnosis.
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Embodiment 1
[0077] A method for detecting the exposure area in an image picture provided by the present invention is specifically as follows:
[0078] S100. Obtain an image to be detected;
[0079] S200. Perform image scaling processing on the image picture obtained in step S100; the image scaling process specifically includes: extracting the grayscale value of the obtained image picture according to every row and every column, to obtain the image picture after the image scaling process;
[0080] S300, performing boundary analysis on the video picture obtained in step S200;
[0081] The boundary analysis includes steps S301 to S305, specifically as follows:
[0082] S301. Calculate row standard deviation and column standard deviation according to the image picture obtained in step S200;
[0083] The processing method of this step is: according to the gray value of the obtained image picture, calculate the standard deviation of each horizontal row of the image picture, and calculate the ...
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The invention relates to the field of images, in particular to a method and system for detecting exposure areas in image pictures. By calculating the row standard deviation and column standard deviation of the acquired video pictures respectively, and then calculating the row gradient corresponding to the row standard deviation and the column gradient corresponding to the column standard deviation, and then calculating the row standard deviation gradient according to the row gradient The weighted coefficient array and the column gradient are calculated to obtain the weighted coefficient array of the column standard deviation gradient, and the weighted array of the row standard deviation gradient is calculated by multiplying the row gradient by the weight coefficient array of the row standard deviation gradient, and the weight of multiplying the column gradient by the column standard deviation gradient The coefficient array is calculated to obtain the column standard deviation gradient weighted array, and finally the upper boundary, the lower boundary, the left boundary and the right boundary are determined through the row standard deviation gradient weighted array and the column standard deviation gradient weighted array, thereby determining the final exposure area of the image, Through the method and system provided by the present invention, the exposure area in the video picture can be quickly detected.
Description
technical field [0001] The invention relates to the field of images, in particular to a method and system for detecting exposure areas in image pictures. Background technique [0002] In the process of DR image acquisition, due to the inappropriate selection of the dose of breath selected by the doctor's experience level, the stability of the hardware of the DR equipment, and the difference in the density of different patients, the original image collected has obvious brightness. At this time, if the image post-processing process uses the same parameters, the post-processed image cannot ensure the effect of brightness and contrast, and the details and brightness balance cannot be well displayed, which will have a great impact on the doctor's diagnosis. Therefore, it is very necessary to adaptively analyze the effective gray information of the original image, and to analyze the effective gray information of the original image, the detection of human tissue (skin, muscle and b...
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IPC IPC(8): G06T7/00
Inventor 孙凯李学军叶超陈娴
Owner SHENZHEN ANGELL TECH