Implementation and Evaluation of the Image Segmentation Algorithm

Li Jun Chen; Yong Jie Ma

doi:10.4028/www.scientific.net/AMM.411-414.1314

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Implementation and Evaluation of the Image...

Implementation and Evaluation of the Image Segmentation Algorithm

Abstract:

In order to achieve better image segmentation and evaluate the segmentation algorithm, a segmentation method based on 2-D maximum entropy and improved genetic algorithm is proposed in this paper, and the ultimate measurement accuracy criterion is adopted to evaluate the performance of the algorithm. The experimental results and the evaluation results show that segmentation results and performance of the proposed algorithm are both better than the segmentation method based on 2-D maximum entropy method and the standard genetic algorithm. The segmentation of the proposed algorithm is complete and spends less time; it is an effective method for image segmentation.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

1314-1317

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.1314

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Online since:

September 2013

Authors:

Li Jun Chen, Yong Jie Ma

Keywords:

2-D Maximum Entropy, Image Segmentation, Improved Genetic Algorithm (IGA), Ultimate Measurement Accuracy Criteria

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