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Proceedings Paper

A novel segmentation and compression scheme for cDNA microarray images
Author(s): Shuanhu Wu; Chuangcun Wang; Limin Sun
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Paper Abstract

With the recent explosion of interest in microarray technology, large amounts of microarray images are being produced currently. Since there is no standard method for information extracting, the storage and the transmission of this type of data are becoming increasingly challenging. Here we present a new segmentation template extracted method and propose a new lossless compression scheme. Our segmentation scheme is based on mean shift filtering and morphological H-reconstruction that can accurately segment microarray images. Based on the extracted segmentation template, our compression scheme divides image into foreground regions and background region and code each region separately. Particularly, two 16-bit images sharing one segmentation template and the segmentation template are compressed into one file. Experimental results and comparison with Gzip that commonly used in microarray management showed that our scheme is efficient and also can greatly facilitate the downstream information extraction and analysis.

Paper Details

Date Published: 4 November 2005
PDF: 9 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440Z (4 November 2005); doi: 10.1117/12.654799
Show Author Affiliations
Shuanhu Wu, Yantai Univ. (China)
Chuangcun Wang, Yantai Univ. (China)
Limin Sun, Yantai Univ. (China)


Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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