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Improved image segmentation method based on optimized threshold using Genetic Algorithm

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3 Author(s)
Xin Zhao ; Department of Computer Science, Chonnam National University, Korea ; Myung-Eun Lee ; Soo-Hyung Kim

In image segmentation, threshold segmentation is becoming more and more widely used because of its simplicity and efficiency. In this paper, an improved image segmentation method based on optimized threshold using genetic algorithm is proposed. Compared with the traditional threshold segmentation methods, this method has advantages that it can nicely segment the thin and it can efficiently reduce calculation time and it has good capability and stabilization nature. The results show that using this proposed method can obtain satisfactory segmentation effect.

Published in:

2008 IEEE/ACS International Conference on Computer Systems and Applications

Date of Conference:

March 31 2008-April 4 2008