Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

A principal component analysis, pathological image technology, applied in image enhancement, image data processing, instrumentation, etc., can solve problems such as diagnostic influence, difference, contrast reduction, etc.

Inactive Publication Date: 2015-06-10
MOTIC XIAMEN MEDICAL DIAGNOSTICS SYST
View PDF1 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for improving pathology image visual effect based on main component analyzing
  • Method for improving pathology image visual effect based on main component analyzing
  • Method for improving pathology image visual effect based on main component analyzing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] Such as image 3 as shown, image 3 For the original image of the pathological section in this embodiment, the original image ( image 3 ) image into a matrix form, where i is the abscissa of the image, j is the ordinate of the image, c takes R, G or B to represent the three channels of the color image, and is represented by a matrix D.

[0060] D = ( d ij ) 3 × MN = g 1,1 , R , g 1,2 , R , . . ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 姜志国郑钰山麻义兵史骏
Owner MOTIC XIAMEN MEDICAL DIAGNOSTICS SYST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com