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In this paper we propose a method that simultaneously performs image denoising and salient curve extraction among random dot patterns using tensor voting. Given an image containing random dots, the pixels are first converted into a set of tokens to be preprocessed by tensor voting, then the voting results are binarized and thinned by a morphological filter to extract the salient curves. At last the...
In this paper, we propose adopts a fast but effective block-based segmentation method to extract the regions of interest. Distributing bit allocation methods depends on the region/content-based, which directly control bit allocation among different regions so as to achieve better visual quality in the regions of interest. Our algorithm can effectively enhance the perceptual quality for the regions...
Linear feature can provide more information than point feature and can be extracted and described conveniently compared with the planar structure in the aerial images, a new straight line extraction method for steroimage feature matching is proposed, mainly for the man-made objects. The fusion and the filtering strategies are designed for the linear features extracted from the aerial images, and then...
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