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Enhanced active shape model using evolutionary computation and its extension to RGB color space

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6 Author(s)
Maik, V. ; Image Process. & Intelligent Syst. Lab., Chung-Ang Univ., Seoul, South Korea ; Hyunjong Ki ; Sangjin Kim ; Jeongho Shin
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This paper deals with an application of evolutionary computation to active shape model (ASM) for locating and analyzing objects an image. The ASM algorithm has proved to be a successful method for segmentation of objects in gray-scale images. However, a number of modifications and extensions to the basic ASM algorithm have been proposed to cope up with various limitations. The proposed method in this paper relies on two such extensions: (i) evolutionary algorithm for better local structure model; and (ii) incorporation of color information for solving the outlier problem in model fitting.

Published in:

Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium on

Date of Conference:

18-19 Nov. 2004