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Different global and local color histogram methods for content based image retrieval (CBIR) are investigated in this paper. Color histogram is a widely used descriptor for CBIR. Conventional method of extracting color histogram is global, which misses the spatial content, is less invariant to deformation and viewpoint changes, and results in a very large three dimensional histogram corresponding to...
Winner Take all circuits are widely used in hardware implementation of pattern recognition systems based on Hamming Neural Network. WTA is a kind of competitive network which takes voltage or current as its input. The WTA function is to accept input signals from outer world, compare all the received inputs, largest intensity signal is accepted by WTA and assign a high digital value to corresponding...
This paper presents a novel approach to retrieve images which are taken at different viewpoints, using combined feature descriptors. The content of the image is extracted with two descriptors, Scale Invariant Feature Transform (SIFT) and Deformation and view point Invariant Color Histogram (ICH) in HSV color space. SIFT has been proven to be the most reliable descriptor for rotation, translation and...
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