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Image segmentation using modified extended fuzzy rules

Karmakar, Gour C.; Dooley, Laurence S. and Murshed, M. (2002). Image segmentation using modified extended fuzzy rules. In: 6th IEEE International Conference on Signal Processing (ICSP'02), 26-30 Aug 2002, Beijing.

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The extended fuzzy rules for image segmentation (EFRIS) algorithm initially splits all segmented regions into mutually exclusive 4-connected objects, from which the largest one in each region is designated as its main object. A drawback of this approach is that it is less effective when the main objects are relatively small and some of the other objects are completely surrounded and connected to the main object of another region. Besides possessing insufficient merging rules, EFRIS also only considers the surrounding main objects in the original order that the regions were segmented, which is undesirable. A new general segmentation algorithm called modified extended fuzzy rules for image segmentation (MEFRIS) is presented, which addresses these problems and whose improved segmentation performance is analysed and numerically evaluated. The results are also contrasted with both the original generic fuzzy rule-based image segmentation (GFRIS) and EFRIS algorithms.

Item Type: Conference Item
Extra Information: ISBN: 0-7803-7488-6
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 12326
Depositing User: Laurence Dooley
Date Deposited: 25 Nov 2008 13:56
Last Modified: 14 Jan 2016 17:27
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