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Segmentation of Protein Spots in 2D Gel Electrophoresis Images with Watersheds Using Hierarchical Threshold

  • Youngho Kim
  • JungJa Kim
  • Yonggwan Won
  • Yongho In
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2869)

Abstract

2D Gel Electrophoresis (2DGE) image is the most widely used method for the isolation of the objective protein by comparative analysis of the protein spot pattern in the gel plane. The process of protein analysis is the method, which compares the protein pattern that is spread in the gel plane with the contrast group and finds interesting protein spot by image analysis. Previous 2DGE image analysis is composed of gaussian fitting, and segments protein spots by watersheds, a morphological segmentation. Watersheds have a benefit that is fast in global threshold, but induces 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 segmentation of protein spots by watersheds using hierarchical threshold, which can resolve the problem of marker-driven watersheds.

Keywords

Protein Spot Regional Minimum Catchment Basin Hierarchical Segmentation Maximum Spot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Youngho Kim
    • 1
  • JungJa Kim
    • 2
  • Yonggwan Won
    • 1
  • Yongho In
    • 3
  1. 1.Department of Computer EngineeringChonnam National UniversityKwangjuREPUBLIC OF KOREA
  2. 2.Research Institute of Electronics and Telecommunications TechnologyChonnam National UniversityKwangjuREPUBLIC OF KOREA
  3. 3.BioInfomatix, IncSeoulREPUBLIC OF KOREA

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