Endoscope weak texture image enhancement method and device

An image enhancement and weak texture technology, applied in the field of computer vision, can solve the problems of random noise, inability to display the surface outline of a single object, and affecting visual applications

Pending Publication Date: 2021-10-22
BEIJING INSTITUTE OF TECHNOLOGYGY
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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 end

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  • Endoscope weak texture image enhancement method and device
  • Endoscope weak texture image enhancement method and device
  • Endoscope weak texture image enhancement method and device

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Embodiment Construction

[0032] Such as figure 1 Shown, this endoscope weak texture image enhancement method, it comprises the following steps:

[0033] (1) extract endoscopic image data in clinical operation;

[0034] (II) Obtain the highlight area in the single-frame endoscopic image based on the color channel intensity offset;

[0035] (III) Complementing the endoscope image area according to the endoscope highlight area;

[0036] (IV) Based on the spatial symmetry of the image, the weak texture area of ​​the endoscopic image is described spatially and symmetrically; based on the color gradient of the image, the color gradient description is performed on the weak texture area of ​​the endoscopic image;

[0037] (V) According to the weighted sum of image pixel spatial symmetry and color gradient, weak texture index is obtained, and the endoscope weak texture image data is quantified;

[0038] (VI) Adaptive gradient preservation for weakly textured images based on local linear relationships.

[0...

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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, ...

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Application Information

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IPC IPC(8): G06T5/00G06T7/00G06T7/40G06T7/90
CPCG06T5/002G06T7/0012G06T7/90G06T7/40G06T2207/10068G06T2207/10024
Inventor 范敬凡刘诗源杨健
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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