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DNA Microarray Image Enhancement Using Conditional Sub-Block Bi-Histogram Equalization
Sydney, NSW, Australia November 22-November 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.432006 IEEE International Conference on ...
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Nader Saffarian, University of Western Sydney, Australia
Ju Jia Zou, University of Western Sydney, Australia
In this paper, a new image enhancement approach is proposed, which has the ability to improve the gridding results in DNA microarray analysis. The proposed approach is implemented as a conditional sub-block bi-histogram equalization (CSBE). This is accomplished by first, decomposing an input image into a number of m x n sub-blocks. Second, the threshold of each sub-block is determined independently. Third, the sub-block is divided into two sub-images based on the threshold. Fourth, only pixels having value greater than the threshold are histogram equalized, and the two sub-images are then recombined. The proposed method is tested on various DNA microarray images, giving excellent results, compared to existing methods.
Index Terms:
Histogram equalization, DNA microarray image enhancement, microarray gridding.
Citation:
Nader Saffarian, Ju Jia Zou, "DNA Microarray Image Enhancement Using Conditional Sub-Block Bi-Histogram Equalization," avss, pp.86, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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