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Terrain segmentation is still a challenging issue in pattern recognition, especially in the application of high resolution satellite images. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks such as high processing time, low accuracy on detection of targets on the large scaled images such as high resolution satellite images. In this paper,...
A study on the use of two different distance measures, Euclidean distance and divergence distance, for FCM is conducted for an image classification problem in this paper.Conventional FCM algorithm which uses Euclidean distance measure utilizes only mean information from an image block for its feature while FCM algorithm with divergence utilizes both of variance and mean information. Evaluationson...
A classification method of video data using centroid neural network is proposed in this paper. The CNN algorithm is used for clustering the MPEG video data. In comparison with other conventional algorithms, The CNN requires neither a predetermined schedule for learning gain nor the total number of iterations for clustering. It always converges to sub-optimal solutions while conventional algorithms...
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