Paper Info
Title
DNA Microarray Image Enhancement Using Conditional Sub-Block Bi-Histogram Equalization
Abstract
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.
Year
DOI
Venue
2006
10.1109/AVSS.2006.43
AVSS
Keywords
Field
DocType
microarray gridding.,histogram equalization,dna microarray image enhancement,excellent result,dna microarray analysis,various dna microarray image,conditional sub-block bi-histogram equalization,input image,new image enhancement approach,gridding result,dna microarray,dna,fluorescence,brightness,signal processing,biotechnology,image analysis,histograms,image segmentation
Histogram,Computer vision,Signal processing,Equalization (audio),Pattern recognition,Computer science,DNA Microarray Analysis,Image segmentation,Artificial intelligence,Pixel,Histogram equalization,DNA microarray
Conference
ISBN
Citations 
PageRank 
0-7695-2688-8
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Nader Saffarian100.34
Ju Jia Zou219820.00