Fuzzy similarity measure and fractional image query for large scale protein 2d gel electrophoresis

Authors:
Daw-Tung Lin;Juin-Lin Kuo;En-Chung Lin;San-Yuan Huang
Affiliations:
Department of Computer Science and Information Engineering, National Taipei University, Taipei, Taiwan;Biomedical Engineering Center, ITRI, Hsinchu, Taiwan;Department of Animal Science, National Taiwan University, Taipei, Taiwan;Divisions of Applied Biology and Biotechnology, Animal Technology Institute Taiwan, Chunan, Miaoli, Taiwan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

Citing 5
Cited 1

Fuzzy sets and fuzzy logic: theory and applications

Fuzzy sets and fuzzy logic: theory and applications
Matching 2D patterns of protein spots

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An applied point pattern matching problem: comparing 2D patterns of protein spots

Discrete Applied Mathematics - Special issue on the 13th European workshop on computational geometry CG '97
Fundamentals of Data Structures in C++

Fundamentals of Data Structures in C++
Point matching under non-uniform distortions

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Autonomous sub-image matching for two-dimensional electrophoresis gels using MaxRST algorithm

Image and Vision Computing

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Abstract

Spot matching is a challenging problem in two dimensional protein gel electrophoresis (2DGE) chromatography images analysis. It is necessary to provide a robust solution to the problem of querying and matching large scale for various size of 2DGE images. In this paper, we have developed a novel maximum relation spanning tree (MRST) algorithm which is capable of performing fast and accurate matching without the need for landmarks to be manually selected. In the matching process, we employ fuzzy similarity measuring technique to conclude the final decision of matching and location. The resultant system performs up to 94% correct matching for 225 2DGE test images. The additive value is the foundation of querying fractional gel images with large format gel images database.