Image processing method and device
By enhancing the contrast of local areas of endoscopic images and saturation stretching processing in the HSV mode, the problem of unclear vascular features in endoscopic images is solved, and clear display of vascular features and improved image recognition are achieved.
CN117132494BActive Publication Date: 2025-09-26SINOSURGICAL HEALTHCARE TECH BEIJING CO LTD +1
Patent Information
- Application Number
- CN202311091574.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-08-28
- Publication Date
- 2025-09-26
- Estimated Expiration
- 2043-08-28
AI Technical Summary
Technical Problem
The contrast between blood vessels and surrounding tissues in endoscopic images is low, resulting in the loss of vascular features and affecting image recognition.
Method used
The three channels of the vascular image are subjected to contrast enhancement in local areas, converted into an HSV mode image, and then subjected to saturation enhancement processing, and finally converted back into an RGB mode image to enhance vascular features.
Benefits of technology
The recognition of blood vessels in endoscopic images is improved, the outlines and details in the images are more obvious, and the image clarity is high.
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Figure CN117132494B_ABST
Abstract
The present invention provides an image processing method and apparatus. The image processing method includes: acquiring a vascular image, the vascular image including an RGB mode image; performing contrast enhancement processing on local regions of three channels of the vascular image to obtain a local contrast-enhanced image, wherein the local region includes a region having vascular characteristics; converting the local contrast-enhanced image into an HSV mode image; performing grayscale contrast stretching processing on the saturation channel of the HSV mode image to obtain a saturation-enhanced image; and converting the saturation-enhanced image into an RGB mode image to obtain a target image corresponding to the vascular image.
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Citation Information
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