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Zbl 0991.68137
Cheng, H.D.; Jiang, X.H.; Sun, Y.; Wang, Jingli
Color image segmentation: advances and prospects. (English)
[J] Pattern Recognition 34, No.12, 2259-2281 (2001). ISSN 0031-3203

Summary: Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in different color spaces. Therefore, we first discuss the major segmentation approaches for segmenting monochrome images: histogram thresholding, characteristic feature clustering, edge detection, region-based methods, fuzzy techniques, neural networks, etc.; then review some major color representation methods and their advantages/disadvantages; finally summarize the color image segmentation techniques using different color representations. The usage of color models for image segmentation is also discussed. Some novel approaches such as fuzzy method and physics-based method are investigated as well.

MSC 2000:: *68U10 Image processing
68T05 Learning and adaptive systems
68T10 Pattern recognition

Keywords: image segmentation; image processing; pattern recognition

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