Color Space Analysis in Color Image Segmentation
نویسنده
چکیده
This paper describes two classic style methods to analyze and segment the color space. The RGB space method includes color space pyramiding, low-pass filtering, 3-D object labeling and property calculation to acquire a proper number of colors and a good initial estimate of center positions, then fuzzy cmeans algorithm can be used to optimally cluster the color space distribution points. The second method introduced is a less complicated YIQ~YθS system which is in the category of histogram thresholding to achieve color segmentation.
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