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Content Based Image Retrieval Using a Metric in a Perceptual Colour Space
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The aim of the present work is building an evaluation method for the similarity between colour hues. The method is defined by studying the attribution ...
The aim of the present work is building an evaluation method for the similarity between colour hues. The method is defined by studying the attribution ...
The aim of the present work is building an evaluation method for the similarity between colour hues. The method is defined by studying the attribution ...
In this paper, it is proposed to develop an efficient CBIR system to reduce the semantic gap by using visual color with Hue Saturation Value (HSV) color space [ ...
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In this paper the different colour, shape and texture feature extraction techniques have been studied and implemented in order to obtain the desired results.
This study focuses specifically on content-based image retrieval. The objective being to characterize the images according to their content.
This model integrates the intensity, the color contrast and self saliency, sparsity and centricity saliency to describe human color visual perception of the ...
This contribution presents a novel technique to fuse the spatial color information with shaped extracted features and object recognition.
Missing: Perceptual | Show results with:Perceptual
"Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the ...
Missing: Perceptual Colour
Color features are calculated according to color spaces. The mostly used color spaces in the CBIR domain are HSV (LSV), YCbCr, RGB, and LAB. These color spaces ...