Method for improving pathology image visual effect based on main component analyzing

Abstract

The invention discloses a method for improving pathology image visual effect based on main component analyzing. The method comprises the steps of acquiring a pathology image to a computer; arranging the digital image data into an observing matrix form; analyzing main components; projecting the matrix data into a main component space; linearly stretching the first main component of the data in the main component space, so as to improve the recognizing degree of the data; reversely projecting the processed data into the original space; converting into an image storage form, so as to achieve the purpose of improving the visual effect. The method can be applied to the improvement of the visual effect of the pathology image, is of an important significance on the defect of the pathology image visual effect caused by dyeing or imaging, has a good market prospect and is worthy of application.

Description

technical field [0001] The invention belongs to the field of digital image processing, in particular to digital image processing technology for color image enhancement, and specifically designs a method for improving the visual effect of pathological images based on principal component analysis. Background technique [0002] The color of pathological sections is obtained by staining with dyes, and the most commonly used staining method is hematoxylin and eosin staining. However, due to the difference in the manual operation method, the ratio of dyeing agents in the staining process, and the difference in the lighting environment during the section scanning process, the color of the final pathological image used for diagnosis is very different, and the color of the image is too dark or too bright. It will lead to a decrease in its contrast, which will affect the doctor's diagnosis. Accordingly, there is a need for an automatic improvement method for pathological images to im...

AI Technical Summary

Problems solved by technology

However, due to the difference in the manual operation method, the ratio of dyeing agents in the staining process, and the difference in the lighting environment during the section scanning process, the color of the final pathological image used for diagnosis is very different, and the color of the image is too dark or too bright. will lead to a decrease in its contrast, which will affect the doctor's diagnosis

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