Research on Statistic-Based Image Segmentation Method


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The paper researched the image segmentation method based on statistic. For the multiple class segmentation, the K-means segmentation was employed in the first part. The segmentation method named OTSU is discussed in the second part of this paper. To solve the problem of the image noise, the method based on the Markov Random Field (MRF) is proposed in the third part of the paper. The ICM optimization algorithm is used in the procedure of MRF segmentation. In the experiments part, the methods are compared with each other, and the results showed that the method based on MRF are more efficient to remove the noise in the images.



Edited by:

B. Xu and H.Y. Li




Y. M. Hou et al., "Research on Statistic-Based Image Segmentation Method", Advanced Materials Research, Vol. 461, pp. 575-578, 2012

Online since:

February 2012




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