Endoscope image enhancement method and device, electronic equipment and storage medium

By adjusting the channel parameters and feature fusion of endoscopic images, combined with dynamic threshold segmentation, the problems of low processing efficiency and insufficient clarity of endoscopic images were solved, achieving accurate segmentation and enhancement of blood vessels and mucosal regions, and improving image processing efficiency and clarity.

CN121961964BActive Publication Date: 2026-07-24ZHUHAI SHIXIN MEDICAL TECH CO LTD
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Patent Information

Application Number
CN202610426542.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-07-24
Estimated Expiration
2046-04-02

AI Technical Summary

Technical Problem

Existing endoscopic image processing technologies suffer from low image processing efficiency and insufficient clarity, especially in bleeding point detection. Red dual-color imaging technology requires switching light sources, which affects efficiency, while deep learning methods have high computational complexity and require a large amount of labeled data.

Method used

By adjusting image channel parameters, grayscale image features are extracted and fused. Dynamic feature weighting coefficients and dual threshold segmentation are used to determine blood vessel and mucosal regions. Channel parameters are adjusted to enhance image processing, thereby improving image clarity and efficiency.

Benefits of technology

While ensuring the accuracy of image enhancement processing, it improves the efficiency and clarity of endoscopic image processing, especially in the detection of bleeding points, by enhancing the contrast between blood vessels and mucosal areas.

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Abstract

The application provides an endoscope image enhancement method and device, electronic equipment and a storage medium. The method comprises the following steps: extracting a plurality of image features from an acquired endoscope image, fusing the image features, and performing segmentation processing on the fused feature image through a double-threshold method to determine a blood vessel region and a mucous membrane region in the image. In different image processing modes, the blood vessel region and the mucous membrane region in the endoscope are accurately segmented to obtain a target image. In this way, the contrast of the blood vessel region and the mucous membrane region in the endoscope image can be improved, and in different image processing modes, the image region corresponding to the image processing mode in the image can be enhanced to obtain an enhanced target image, improve the overall image clarity, reduce a large number of data processing steps, ensure the accuracy of image enhancement processing, and improve the image processing efficiency.
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