Endoscope image enhancement method based on histogram equalization and improved unsharpened mask

A technology of histogram equalization and unsharp masking, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of image quality degradation, detail weakening, noise amplification, etc., to enhance contrast and adjust local brightness, The effect of enhancing image contrast and avoiding noise
CN113989147APending Publication Date: 2022-01-28ANHUI UNIVERSITY

Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
ANHUI UNIVERSITY
Publication Date
2022-01-28

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Abstract

The invention discloses an endoscope image enhancement method based on histogram equalization and improved anti-sharpening mask, which relates to the technical field of image enhancement, and comprises the following steps: acquiring an endoscope image; carrying out local brightness adjustment and saturation correction on the endoscope image by adopting an HSV color model; converting the image into a YCbCr space, and performing low-frequency background enhancement on a Y component by adopting a contrast-limited adaptive histogram equalization method; and carrying out canny texture detection, and carrying out high-frequency detail enhancement by using the improved nonlinear unsharp mask to obtain an improved endoscope enhanced image. According to the image enhancement method, a histogram equalization method, canny edge detection and an improved nonlinear anti-sharpening mask are innovatively combined, so that the low-frequency component of background intensity is effectively balanced, contour details are enhanced, the original color of the image is kept while the image contrast is naturally enhanced and detail information such as blood vessels is revealed, and the noise is reduced.
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Description

technical field

[0001] The invention relates to the technical field of image enhancement, in particular to an endoscope image enhancement method based on histogram equalization and improved unsharp mask. Background technique

[0002] Due to the limitation of lighting conditions and the complexity of the surgical environment, the images collected by the endoscope are often not clear enough and have low contrast, which affects the doctor's diagnosis. Therefore, it is necessary to enhance the contrast of endoscopic images to provide intuitive and clear information to help doctors interpret the images more easily.

[0003] Modern image enhancement techniques can be divided into three categories, namely Retinex-based methods, Unsharp Mask (UM)-based methods, and Non-linear Intensity Transform (NIT)-based methods. Retinex-based methods usually produce halo effects, and the algorithm is relatively complex and time-consuming; UM-based detail enhancement methods deal with high-frequ...

Claims

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