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Gabor filter is a powerful tool for texture analysis, and (lie Gabor filter representations of images are robust for illuminations, pose and expressional variability, Gabor filters are now being used extensively and successfully in various computer vision applications- However, tbe dimensionality of the Gabor feature space is overwhelmingly high, many sampling or compressing methods are proposed to...
SIFT (scale invariant feature transform) is an important local invariant feature descriptor. Since its expensive computation, SURF (speeded-up robust features) is proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback and to increase the descriptor's distinctiveness, this paper presents...
In this paper we present wavelet based image indexing and retrieval system for color images. Highly de-correlated wavelet coefficient planes are used to acquire a search efficient feature space. In this work low level feature, dominant color of the several images is extracted and keys are generated. The image key represents the image content with respect to other images in the database. At the time...
In this paper, a new image support feature is defined, according to various grey level of image. The comprehensive grey correlation and the feature match method, a novel SAR image fast matching algorithm is proposed based on support feature points. Relaxes Hausdorff distance is adopted as a similarity measure combined with the wavelet decomposition iteration to search the fine strategy, in the wavelet...
Two fundamental aspects for content-based image retrieval system are studied: visual feature extraction and retrieval system design. (i) Feature extraction shares some common properties with image compression where the multiresolution nature of wavelet decomposition can be exploited. When wavelet coefficients are vector quantized, the information content in each spatial-frequency subband is mapped...
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