A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new method for image segmentation
Computer Vision, Graphics, and Image Processing
Color image segmentation to the RGB and HSI model based on region growing algorithm
CEA'10 Proceedings of the 4th WSEAS international conference on Computer engineering and applications
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Quite often, in grey level image segmentation, the objects to be delineated are found in regions of non-uniform illumination. In these cases, using thresholds derived from intensity-based algorithms cannot yield good segmentation performance. Region growing techniques have been shown to perform well under these situations. In this paper, a novel edge based region growing method is presented. Two kinds of seeds (pixels) - hot and cold, are defined near edges (of objects) and both kinds of regions are grown from these seeds simultaneously. In this paper, the approach is not sensitive to the parameters, for example the sizes of different operators and the thresholds in edge detection and edge region detection. This technique produces good segmentation results, even for cases of images with non-uniform illumination.