A method and system for detecting exposure area in image picture

Abstract

The invention relates to the field of images, in particular to a method and system for detecting an exposure area in an image picture. Line standard deviation and row standard deviation of the image picture are obtained through calculating respectively, a line gradient corresponding to the line standard deviation and a row gradient corresponding to the row standard deviation are calculated, a weighted coefficient array of a line standard deviation gradient is calculated according to the line gradient, a weighted coefficient array of a row standard deviation gradient is calculated according to the row gradient, the line gradient multiplies the weighted coefficient array of the line standard deviation gradient to obtain a line standard deviation gradient weighting array, the row gradient multiplies the weighted coefficient array of the row standard deviation gradient to obtain a row standard deviation gradient weighting array, and an upper boundary, a lower boundary, a left boundary and a right boundary are determined through the line standard deviation gradient weighting array and the row standard deviation gradient weighting array at last, so that the final exposure area of the image picture is determined. According to the method and system for detecting the exposure area in the image picture, the exposure area in the image picture can be detected rapidly.

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...

AI Technical Summary

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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