Complicated Image's Binarization Based on Method of Maximum Variance

Image binarization is an important preceding task in image processing and analysis. But the effect of common methods such as Ostu and Bernen are not well when the image's luminance isn't equal or the contrast is deficient etc. So, a binarization method based on spatial distributing and imp...

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Bibliographic Details
Main Authors: Jie Bai, Yao-Quan Yang, Rui-Li Tian
Format: Conference Proceeding
Language:English
Subjects:
Analysis of variance
Bayes Algorithm
Binarization
Character recognition
Clustering algorithms
Differential equations
Histograms
Image analysis
Image processing
Maximum variance between clusters
Pixel
Statistical distributions
Target recognition
Threshold
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Summary:Image binarization is an important preceding task in image processing and analysis. But the effect of common methods such as Ostu and Bernen are not well when the image's luminance isn't equal or the contrast is deficient etc. So, a binarization method based on spatial distributing and improved maximum variance is used in this paper. This method combined the characteristic of image's spatial distributing and the statistic characteristic of maximum variance in and between clusters. The processing speed is much faster, and artifacts and broken strokes are eliminated
ISSN:2160-133X
DOI:10.1109/ICMLC.2006.258683