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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/10753

Title: A Fuzzy-Watershed Image Segmentation of two-dimensional gel images-Survey Paper
Authors: Rashwan S
Sarhan A
Faheem T
et al
Keywords: 2DGE) ; fuzzy relations
Issue Date: 2009
Publisher: 9th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision, AUG 20-22, 2009 Moscow, RUSSIA Conference Information: Source: PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTATIONAL GEOMETRY AND ARTIFICIAL VISION (ISCGAV'09) Book Series
Citation: Recent Advances in Computer Engineering Pages: 35-40 Published: 2009
Abstract: 2D gel electrophoresis (2DGE) plays an important role in proteomics. It can separate proteins effectively with their pl values and molecular weights. Proteornics researchers needed to identify interested protein spots by examining the gel. This is time consuming and labor extensive. It is desired that the computer can analyze the proteins automatically by first detecting and quantifying the protein spots in the digitized 2DGE images. In our work, we will investigate the use of the watershed algorithm in segmenting the protein spots from the varying background. However, the watershed algorithm often produces an over-segmented result. So, we will introduce the notion of fuzzy relations to improve the segmentation result.
URI: http://hdl.handle.net/123456789/10753
Appears in Collections:College of Science

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