Fourier Transform Based Saliency Detection for Sketch Based Image Retrieval Systems
نویسندگان
چکیده
Visual Saliency is the perceptual quality that makes an object or pixel region stand out relative to its neighbors and thus capture viewer attention. Thus Saliency models indicate the region of interest. This paper aims at improving the performance of sketch based image retrieval using saliency detection approach. Several methods have been developed to extract the saliency information from an image. We use the Fourier transform to detect the saliency. Experimental results prove that the proposed technique outperforms the existing techniques and produce better retrieval results.
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