Method for color standardization of pathological image based on low rank embedded non-negative matrix decomposition

A non-negative matrix decomposition, pathological image technology, applied in image enhancement, image analysis, medical image and other directions, can solve the problems of image color inconsistency, large color difference of pathological images, intelligent analysis effect, etc., to achieve simple algorithm and fast calculation speed , the effect of efficient color standardization

Active Publication Date: 2019-02-15
HEFEI UNIV OF TECH
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Problems solved by technology

Due to the differences in the scanning methods of different digital slide scanners, different laboratory staining methods and the ratio of dyeing agents, there are large color difference...

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  • Method for color standardization of pathological image based on low rank embedded non-negative matrix decomposition
  • Method for color standardization of pathological image based on low rank embedded non-negative matrix decomposition
  • Method for color standardization of pathological image based on low rank embedded non-negative matrix decomposition

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Embodiment Construction

[0042] Such as figure 1 As shown, a method for color standardization of pathological images based on low-rank embedded non-negative matrix factorization includes the following steps: Step (1): Scan the source pathological slices to be transformed and the target pathological slices as standard to In the computer, it is stored as an RGB three-channel color image, and the source pathological image and the target pathological image are obtained.

[0043] Step (2): Convert the source pathological image and the target pathological image into corresponding densitometric images.

[0044] Step (3): Taking the image pixel as a unit, express the optical density three-channel value of each pixel as a three-dimensional vector, that is, each pixel is regarded as a sample point, and each sample point is a three-dimensional vector, thus the source The pathological image and the target pathological image are converted into a matrix form, the number of rows is 3, and the number of columns is t...

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Abstract

The invention discloses a method for color standardization of pathological image based on low rank embedded non-negative matrix decomposition, the data of two pathological images are expressed in theform of observation matrix, which are converted into optical density, the low rank representation matrices of the source optical density matrix and the target optical density matrix are solved respectively, the corresponding optical density matrix is decomposed into an RGB color matrix of each dyeing component and an intensity matrix of each pixel under each dyeing component, At last, that image is convert to RGB form, so as to achieve the color standardization from the source pathological image to the target pathological image, the invention can be used for color standardization of pathological images and improvement of visualization effect, Avoiding the color inconsistency of pathological images caused by different pathological scanners, different laboratory staining methods and different staining ratio has important significance for pathological image imaging, staining separation and intelligent pathological image analysis, and has broad market prospects and application value.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a digital image processing technology for color image standardization, in particular to a method for color standardization of pathological images based on low-rank embedded non-negative matrix decomposition. Background technique [0002] Digital pathology images display color information by dyeing different pathological tissue structures, the most representative one is hematoxylin-eosin staining. Due to the differences in the scanning methods of different digital slide scanners, different laboratory staining methods and the ratio of dyeing agents, there are large color differences in pathological images, and image color inconsistencies under the same staining method occur from time to time. Both diagnostic and pathological image intelligent analysis have an impact. Therefore, there is a need for a pathological image color standardization method, which can avoid ...

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Application Information

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IPC IPC(8): G06T7/90G06T5/00G16H30/20
CPCG06T5/005G06T7/90G16H30/20
Inventor 史骏饶诗语郑利平
Owner HEFEI UNIV OF TECH
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