Edge, Junction, and Corner Detection Using Color Distributions
IEEE Transactions on Pattern Analysis and Machine Intelligence
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
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A method for segmenting colored images based on contour detection is described. It involves the use of techniques based on abrupt change detection used in signal processing and control systems. This work is based on a theoretical framework: differential geometry, tensors, Neyman-Pearson's optimal decision. Good results are obtained with Gaussian and exponential noises. This method also provides a very good location of contours.