DocumentCode
152915
Title
Color normalization method using hue histogram Gaussian mixtures
Author
Onder, Devrim
fYear
2014
fDate
23-25 April 2014
Firstpage
1837
Lastpage
1840
Abstract
Color variations occurred due to inconsistencies in histology slides preparation stages degrades the quantitative analysis performance of histopathological images. Several color deconvolution and color modification methods have been proposed to eliminate these negative effects. In this article, a Hue, Saturation, Value space color normalization method for hematoxylin and eosin stained histopathology slide images is presented. In the proposed method, a hue histogram is represented as a binary Gaussian mixture and then each mixture component is transferred to a predefined fixed Gaussian distribution. The proposed method does not require any user intervention. The impact of the proposed method to the separation of the texture feature vector groups obtained from healthy and cancerous tissue sections of a histopathological image database was presented by comparing the group separability measures calculated using original and normalized images.
Keywords
Gaussian distribution; chemical analysis; deconvolution; image colour analysis; image texture; binary Gaussian mixture; color deconvolution methods; color modification methods; color normalization method; color variations; fixed Gaussian distribution; histopathological images; hue histogram Gaussian mixtures; quantitative analysis; texture feature vector groups; Conferences; Histograms; Image color analysis; Microscopy; Nickel; Signal processing; Statistical analysis; color normalization; gaussian mixture; hematoxylin-eosin; histopathology; hue-saturation-value;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830610
Filename
6830610
Link To Document