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3 November 2005 A novel segmentation and compression scheme for cDNA microarray images
Shuanhu Wu, Chuangcun Wang, Limin Sun
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Proceedings Volume 6044, MIPPR 2005: Image Analysis Techniques; 60440Z (2005) https://doi.org/10.1117/12.654799
Event: MIPPR 2005 SAR and Multispectral Image Processing, 2005, Wuhan, China
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.
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Shuanhu Wu, Chuangcun Wang, and Limin Sun "A novel segmentation and compression scheme for cDNA microarray images", Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 60440Z (3 November 2005); https://doi.org/10.1117/12.654799
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KEYWORDS
Image segmentation
Image compression
Image filtering
Data storage
Image processing algorithms and systems
Databases
Image processing
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