Endoscope image imaging method, device, apparatus and medium

Abstract

The invention provides an endoscope image imaging method, device and apparatus and a medium. The method relates to adjustment of channel images of R, G and B channel components in an endoscopic image,and comprises the following steps: acquiring endoscopic image data, performing RGB channel decomposition on the endoscopic image data, and generating channel images, the channel images comprising anR channel image, a G channel image and a B channel image; respectively inputting the channel images into a preset adjustment function model; obtaining a channel enhanced image output by the adjustmentfunction model, wherein the channel enhanced image comprises an R channel enhanced image, a G channel enhanced image and a B channel enhanced image; and generating an endoscope image according to theR channel enhanced image, the G channel enhanced image and the B channel enhanced image. R, G and B channel components of an image are independently adjusted, so that an obvious contrast effect is generated between a tissue background and the hue of a blood vessel.

Description

technical field [0001] The present application relates to the field of medical detection, in particular to imaging methods, devices, equipment and media of endoscopic images. Background technique [0002] An endoscope is an optical device that can detect the internal image information of an object. Medical endoscopes can enter the human body through the natural channels of the human body or small surgical incisions, and can help doctors see the internal structure of the human body that cannot be displayed by X-rays. It has become an indispensable instrument for checking internal diseases of the stomach, esophagus, and small intestine. Obtaining clear images through the endoscope can help doctors establish patient information, which can effectively improve the accuracy of the diagnosis and treatment process. [0003] However, the shooting of endoscopic images is affected by gas bubbles in the digestive tract, light and shooting angles, resulting in uneven image quality. Due...

AI Technical Summary

Problems solved by technology

[0003] However, the shooting of endoscopic images is affected by gas bubbles in the digestive tract, light and shooting angles, resulting in uneven image quality. The complexity of the environment structure - the impact of gas bubbles in the digestive tract, etc., the image reflected by the endoscope is not ideal, and the large area of ​​the image is dark due to underexposure, which has a great impact on the evaluation of the patient's disease during the operation

[0004] There are many traditional image enhancement methods, such as histogram equalization enhancement, Laplace operator enhancement, gamma transformation enhancement, and multi-scale image enhancement algorithms. Due to the special scene of vascular endoscope, the illumination and angle are different. Traditional algorithms cannot complete image enhancement and are not suitable for this scene

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