Image enhancement method and device suitable for endoscope and storage medium

Abstract

The invention discloses an image enhancement method and device suitable for an endoscope and a storage medium, and the method comprises the steps: responding to an image enhancement starting instruction, converting a current frame image collected by a camera of the endoscope in real time into a gray-scale image, and obtaining the gray-scale values of all pixels in the gray-scale image; obtaining target area information input by a user, and determining a target area of the grey-scale map according to the target area information; obtaining a gray scale minimum value and a gray scale maximum value in a target area of the gray scale map, and respectively recording the gray scale minimum value and the gray scale maximum value as a first gray scale minimum value and a first gray scale maximum value; and performing gray scale equalization processing on pixels of which the gray scale values are in a first interval divided according to the first gray scale minimum value and the first gray scalemaximum value in the gray scale map, and obtaining and displaying an enhanced gray scale map. According to the invention, the enhancement effect and detail visibility of the target area in the videoimage acquired by the endoscope can be improved.

Description

Technical field [0001] The present invention relates to the technical field of medical devices, in particular to an image enhancement method, device and storage medium suitable for endoscopes. Background technique [0002] Endoscope is a commonly used medical device that integrates traditional optics, ergonomics, precision machinery, modern electronics, mathematics, and software. It is widely used in non-invasive and minimally invasive surgery. When the endoscope is used for the diagnosis and treatment of diseases that do not require strict color requirements but require high detail display, due to the influence of interference grayscale, the details of the image collected by the endoscope are not ideal, and the usually obtained medical images may There are phenomena such as unclear details and low contrast, which will affect the safety and effectiveness of diagnosis and treatment. Therefore, allowing the image collected by the endoscope to show clearer texture details is the fo...

AI Technical Summary

Problems solved by technology

However, the inventor found in the process of implementing the present invention that often when a doctor observes a medical image, what he observes is the lesion area of ​​the image, but because the global enhancement method cannot effectively enhance the local texture and details, it can only enhance Global contrast, which enhances the visual effect globally, thus resulting in less enhancement and less detail visibility in the area to be observed

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