502 search results - page 52 / 101 » Evaluation of Texture Features for Content-Based Image Retri... |
ESWA
2008
15 years 2 months ago
2008
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
139
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TIP
2008
15 years 1 months ago
2008
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
157
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ECIR
2011
Springer
14 years 5 months ago
2011
Springer
Abstract. Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. More...
112
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ICIP
2007
IEEE
16 years 3 months ago
2007
IEEE
-- A new Dominant Color Structure Descriptor (DCSD) is proposed in this paper. It is designed to provide an efficient way to represent both color and spatial structure information ...
141
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ICMCS
2007
IEEE
15 years 8 months ago
2007
IEEE
— An important problem in color based image retrieval is the lack of efficient way to represent both the color and the spatial structure information with single descriptor. To so...