Image Processing Using Intersecting Cortical Model

doi:10.13190/jbupt.200904.40.zhank

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (4): 40-45.doi: 10.13190/jbupt.200904.40.zhank

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Image Processing Using Intersecting Cortical Model

ZHAN Kun Hongjuan Zhang MA yide

Received:2008-11-19 Revised:2009-05-20 Online:2009-08-28 Published:2009-08-28
Contact: MA yide

Abstract

Abstract:

The working principle, performance parameters, behaviors and main characteristics of intersecting cortical model (ICM) are analyzed. The expressions of internal activity without coupling, firing time and firing periodicity are derived from the mathematical description of ICM. The ICM features of variable threshold, nonlinear pulse modulation, synchronous pulse bursts, pulse capture, dynamic pulse bursts, autowave and synthesized spacetime are summarized. Then, the applications of ICM in automatic image segmentation, automatic edge extraction, feature extraction and image smoothing are introduced respectively. Experiments show that ICM can be used to segment images, retrieve images and denoise images effectively.

Key words: intersecting cortical model, ICM, image processing, segmentation, feature extraction, smoothing.

ZHAN Kun Hongjuan Zhang MA yide. Image Processing Using Intersecting Cortical Model[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(4): 40-45.

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Image Processing Using Intersecting Cortical Model

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