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Enhanced active shape model using evolutionary computation and its extension to RGB color space
- Issue Date
- Nov-2004
- Citation
- Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, pp 75 - 79
- Pages
- 5
- Journal Title
- Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
- Start Page
- 75
- End Page
- 79
- ISSN
- 0000-0000
- Abstract
- 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. © 2004 IEEE.
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