Paper
25 September 2003 A novel immune genetic algorithm for image segmentation
Chunbai Wang, Baojun Zhao, Peikun He
Author Affiliations +
Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.538704
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China
Abstract
Based on Immune Genetic Algorithm (IGA), a novel algorithm for image segmentation is presented in this paper. Utilizing functions of self-adaptive, antigen recognition and memory of immune mechanism, this algorithm combines genetic operator to segment image. The results of experiments indicate that it is an effective new method for image segmentation.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunbai Wang, Baojun Zhao, and Peikun He "A novel immune genetic algorithm for image segmentation", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.538704
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KEYWORDS
Image segmentation

Genetic algorithms

Image processing algorithms and systems

Genetics

Detection and tracking algorithms

Image compression

Evolutionary algorithms

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