Endoscope multi-focus image fusion method

Abstract

The invention discloses an endoscope multi-focus image fusion method, which belongs to the technical field of image data processing, and comprises the following steps: an image acquisition step: respectively acquiring images under different focal lengths to obtain a plurality of original images; a feature point extraction step of respectively extracting feature points of each original image; a feature matching step: obtaining a matching point pair between every two original images; determining a reference image, namely searching the reference image; an image correction step: correcting all the original images to the plane of the reference image to obtain a plurality of corrected images; a light and color uniformizing processing step: obtaining a corrected image after light and color uniformizing; and an image fusion step: carrying out fusion processing on the corrected image after uniform light and uniform color to obtain a fused image. According to the multi-focus image fusion method for the endoscope, the image containing the clear positions of all the collected images is obtained by fusing the collected images with different focusing distances, and a user can conveniently observe the images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an endoscope multi-focus image fusion method. Background technique [0002] As a detection instrument based on image sensors, endoscopes can see lesions that cannot be displayed by X-rays, and are widely used in the medical field. Most of the existing endoscope photosensitive devices are CCD or CMOS, and the imaging principle is pinhole imaging, and the clear range of imaging is limited by the depth of field. [0003] In addition, when performing imaging in some organs of the human body with an endoscope, it is necessary to find specific pathological areas. However, since the intestinal tract in the human body is always in a state of peristalsis, the image resolution of the captured pathological areas will be extremely low, and even with the The peristalsis of the intestinal tract, the pathological area cannot be kept in the middle of the image, which is not...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the technical problem of poor endoscope imaging quality caused by the defects of the image acquisition equipment itself or the poor image acquisition environment in the prior art, the present invention proposes an endoscope multi-focus image fusion method for improving endoscope acquisition output image quality

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