Color image processing and applications
Color image processing and applications
Color texture measurement and segmentation
Signal Processing - Special section on content-based image and video retrieval
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Object recognition using wavelets, L-G graphs and synthesis of regions
Pattern Recognition
Quaternion color texture segmentation
Computer Vision and Image Understanding
Robust path-based spectral clustering
Pattern Recognition
Modeling human color categorization
Pattern Recognition Letters
An adaptive color similarity function for color image segmentation
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
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An interactive, semiautomatic image segmentation method is presented which, unlike most of the existing methods in the published literature, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has two steps: 1) The manual selection of few sample pixels of the color to be segmented, 2) The automatic generation of the so called Color Similarity Image (CSI), which is a gray level image with all the tonalities of the selected color. The color information of every pixel is integrated by a similarity function for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive. It is shown that the improvement in quality of our proposed segmentation technique and its quick result is significant with respect to other solutions found in the literature.