Color image processing and applications
Color image processing and applications
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
Color image segmentation by means of a similarity function
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
| Hi-index | 0.00 |
In this paper an interactive, semiautomatic image segmentation method is presented which, processes the color information of each pixel as a unit, thus avoiding color information scattering. The process has only two steps: 1) The manual selection of few sample pixels of the color to be segmented in the image; and 2) The automatic generation of the so called Color Similarity Image (CSI), which is just a gray level image with all the tonalities of the selected colors. The color information of every pixel is integrated in the segmented image by an adaptive color similarity function designed for direct color comparisons. The color integrating technique is direct, simple, and computationally inexpensive and it has also good performance in gray level and low contrast images.