Endoscope weak texture image enhancement method and device

Abstract

The invention discloses an endoscope weak texture image enhancement method and device, visual error perception can be removed, the number of extracted visual feature points is increased, and texture gradient information of the image is improved. The method comprises the following steps: (I) extracting endoscope image data in a clinical operation; (II) acquiring a highlight area in the single-frame endoscope image based on color channel intensity offset; (III) complementing the image area of the endoscope according to the highlight area of the endoscope; (IV) on the basis of the spatial symmetry of the image, carrying out spatial symmetry description on the weak texture region of the endoscope image and carrying out color gradient description on the weak texture region of the endoscope image on the basis of the color gradient of the image; (V) obtaining a weak texture index according to the weighted sum of the image pixel space symmetry and the color gradient, and quantifying the endoscope weak texture image data; and (VI) performing adaptive gradient preservation on the weak texture image based on the local linear relation.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to an endoscope weak texture image enhancement method and an endoscope weak texture image enhancement device. Background technique [0002] In recent years, with the extension of computer vision research, endoscopic image features have been widely used in detection, recognition, positioning, and reconstruction, and have also become an effective way to achieve value enhancement in the field of computer vision. Therefore, the feature matching technology of endoscopic images has become a key technology to obtain the surface morphology of objects. However, due to the particularity of the operating environment in clinical operations, the limitation of operation time and the differences in endoscopic equipment, the quality of acquired endoscopic images varies greatly. Some images are weakly textured in nature. [0003] Weak texture endoscopic images have a single overall color, ...

AI Technical Summary

Problems solved by technology

Such an enhancement method will introduce more random noise while increasing the number of image feature points extracted, resulting in false matching.

In addition, the diameter of the clinical medical endoscope lens is small, and the endoscope lens is close to the shooting surface during the operation, resulting in a narrow field of view and unable to display the surface contour of a single object

These limiting factors will seriously affect subsequent vision applications

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