The Algorithm of Protein Spots Segmentation using Watersheds-based Hierarchical Threshold 


Vol. 12,  No. 3, pp. 239-246, Jun.  2005
10.3745/KIPSTB.2005.12.3.239


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  Abstract

Biologist must have to do 2DGE biological experiment for Protein Search and Analysis. This experiment coming into being 2 dimensional image. 2DGE (2D Gel Electrophoresis : two dimensional gel electrophoresis) image is the most widely used method for isolating of the objective protein by comparative analysis of the protein spot pattern in the gel plane. The process of protein spot analysis, firstly segment protein spots that are spread in 2D gel plane by image processing and can find important protein spots through comparative analysis with protein pattern of contrast group. In the algorithm which detect protein spots, previous 2DGE image analysis is applies gaussian fitting, however recently Watersheds region based segmentation algorithm, which is based on morphological segmentation is applied. Watersheds has the benefit that segment rapidly needed field in big sized image, however has under-segmentation and over-segmentation of spot area when gray level is continuous. The drawback was somewhat solved by marker point institution, but needs the split and merge process. This paper introduces a novel marker search of protein spots by watersheds-based hierarchical threshold, which can resolve the problem of marker-driven watersheds.

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[IEEE Style]

Y. H. Kim, J. J. Kim, D. H. Kim, Y. G. Won, "The Algorithm of Protein Spots Segmentation using Watersheds-based Hierarchical Threshold," The KIPS Transactions:PartB , vol. 12, no. 3, pp. 239-246, 2005. DOI: 10.3745/KIPSTB.2005.12.3.239.

[ACM Style]

Young Ho Kim, Jung Ja Kim, Dae Hyun Kim, and Yong Gwan Won. 2005. The Algorithm of Protein Spots Segmentation using Watersheds-based Hierarchical Threshold. The KIPS Transactions:PartB , 12, 3, (2005), 239-246. DOI: 10.3745/KIPSTB.2005.12.3.239.

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