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Title: Image segmentation by changing template block by block
Authors: Sin, CF
Leung, CK 
Keywords: Entropy
Image classification
Image segmentation
Issue Date: 2001
Publisher: IEEE
Source: TENCON 2001 : Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology : 19-22 August, 2001, Phuket Island, Langkawi Island, Singapore, v. 1, p. 302-305 How to cite?
Abstract: In this paper, an entropy-based image segmentation method is proposed to segment a gray-scale image. The method starts with an arbitrary template. An index called gray-scale image entropy (GIE) is employed to measure the degree of resemblance between the template and the underlying true scene that gives rise to the gray-scale image. The classification status of a block of pixels in the template is modified in a way to maximize the GIE. By repeatedly processing all blocks of pixels until a termination condition is met, the template would be changed to a configuration that closely resembles the true scene. This optimum template (in an entropy sense) is taken to be the desired segmented image. Investigation results from simulation study and the segmentation of practical images demonstrate the feasibility of the proposed method
ISBN: 0-7803-7101-1
DOI: 10.1109/TENCON.2001.949601
Appears in Collections:Conference Paper

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