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Algorithm for image clusters detection and identification based on color for an autonomous mobile robot

机译：基于颜色的自主移动机器人图像聚类检测与识别算法

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An algorithm for detection and identification of image clusters or (open quotes)blobs(close quotes) based on color information for an autonomous mobile robot is developed. The input image data are first processed using a crisp color fuszzyfier, a binary smoothing filter, and a median filter. The processed image data is then inputed to the image clusters detection and identification program. The program employed the concept of (open quotes)elastic rectangle(close quotes)that stretches in such a way that the whole blob is finally enclosed in a rectangle. A C-program is develop to test the algorithm. The algorithm is tested only on image data of 8x8 sizes with different number of blobs in them. The algorithm works very in detecting and identifying image clusters.

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