2006
DOI: 10.1016/j.patrec.2005.12.014
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Image retrieval based on color distribution entropy

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Cited by 73 publications
(41 citation statements)
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“…Color is widely regarded as one of the most expressive visual features [20], and as such it has been extensively studied in the context of CBIR, thus leading to a rich variety of descriptors [21]. Similarly to texture and shape, it is relatively hard to establish the exact description of color content.…”
Section: Morphological Description Of Color Imagesmentioning
confidence: 99%
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“…Color is widely regarded as one of the most expressive visual features [20], and as such it has been extensively studied in the context of CBIR, thus leading to a rich variety of descriptors [21]. Similarly to texture and shape, it is relatively hard to establish the exact description of color content.…”
Section: Morphological Description Of Color Imagesmentioning
confidence: 99%
“…As they are capable of providing the first two elements required for the description of color, their foremost drawback is the lack of any spatial information. To this end, several extensions have been proposed [35], [21]; among which one particular approach is using multiple resolutions, that has proven itself to be able to capture effectively color content [36], [37]. Multiresolution decomposition has been achieved by means of Gaussian filters [36], Gabor filters [38] as well as wavelets [39].…”
Section: B Multiresolution Histograms In the Leveling Scale-space (Mhl)mentioning
confidence: 99%
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