A New Image Segmentation Method Based on Modified Intersecting Cortical Model

doi:10.13190/jbupt.201001.56.213

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2010, Vol. 33 ›› Issue (1): 56-60.doi: 10.13190/jbupt.201001.56.213

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A New Image Segmentation Method Based on Modified Intersecting Cortical Model

NIU Jian-wei¹；SHEN Si-si¹；TONG Chao¹；GAO Xiao-peng¹；WANG Kong-qiao²

(1.School of Computer Science and Engineering, Beihang University, Beijing 100191, China; 2.Nokia China Research Center, Beijing 100176, China)

Received:2009-05-12 Revised:2009-08-08 Online:2010-02-28 Published:2010-02-28

Abstract

Abstract:

An image segmentation method based on the modified intersecting cortical model (MICM) is proposed to set the MICM parameters adaptively according to the different characteristics of images and choose the optimal segmentation results automatically, which are two main obstacles for the basic intersecting cortical model(ICM) to be used in practice. Experiments show that the comprehensive evaluation value of MICM is close to those of basic pulse coupled neural network(PCNN) and basic intersecting cortical model. Compared with the fuzzy C-means algorithm and OTSU algorithm, MICM is of visually better segmentation and the comprehensive evaluation value of MICM increases by approximately 15% and 13% respectively.

Key words: image segmentation, intersecting cortical model, self-adaptive, mutual information

NIU Jian-wei¹；SHEN Si-si¹；TONG Chao¹；GAO Xiao-peng¹；WANG Kong-qiao². A New Image Segmentation Method Based on Modified Intersecting Cortical Model[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2010, 33(1): 56-60.

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A New Image Segmentation Method Based on Modified Intersecting Cortical Model

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