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.
Original language | English |
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Title of host publication | IEEE Region 10 International Conference on Electrical and Electronic Technology |
Pages | 302-305 |
Number of pages | 4 |
Publication status | Published - 1 Dec 2001 |
Event | IEEE Region 10 International Conference on Electrical and Electronic Technology - Singapore, Singapore Duration: 19 Aug 2001 → 22 Aug 2001 |
Conference
Conference | IEEE Region 10 International Conference on Electrical and Electronic Technology |
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Country/Territory | Singapore |
City | Singapore |
Period | 19/08/01 → 22/08/01 |
Keywords
- Maximum entropy
- Segmentation
- Template matching
- Thresholding
ASJC Scopus subject areas
- General Engineering