Color Blindness Image Segmentation Using Rho-Theta Space

Segmentation of color information in RGB space is considered as the detection of clouds in rho-theta space. The conversion between RGB space and rho-theta space is first derived. Then the peak detection in the cloud-like rho-theta image is developed for color plane segmentation. The color blindness images are used for illustrations and experiments. Results confirm the feasibility of the proposed method. In addition, the segmentation of pattern and background for a color blindness image is also further demonstrated by means of the spatial distance computation among segmented color planes as well as the traditional K-means algorithm.

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