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» Color and Texture Feature For Content Based Image Retrieval
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CIVR
2007
Springer
280views Image Analysis» more  CIVR 2007»
14 years 4 months ago
Demonstration of image retrieval based on illumination invariant textural MRF features
Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
Pavel Vacha, Michal Haindl
MM
1999
ACM
126views Multimedia» more  MM 1999»
14 years 2 months ago
Robust color indexing
In content based image retrieval, color indexing is one of the most prevalent retrieval methods. In literature, most of the attention has been focussed on the color model with lit...
Nicu Sebe, Michael S. Lew
ICIP
2000
IEEE
14 years 12 months ago
Classification of Textured and Non-Textured Images Using Region Segmentation
The classification of general-purpose photographs into textured and non-textured images is critical for developing accurate content-based image retrieval systems for large-scale i...
Jia Li, James Ze Wang, Gio Wiederhold
ICIP
2002
IEEE
15 years 4 hour ago
Adaptive image segmentation based on color and texture
We propose an image segmentation algorithm that is based on spatially adaptive color and texture features. The features are first developed independently, and then combined to obt...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
ICIAP
2009
ACM
14 years 11 months ago
Color Features Performance Comparison for Image Retrieval
This paper proposes a comparison of color features for image retrieval. In particular the UCID image database has been employed to compare the retrieval capabilities of different c...
Daniele Borghesani, Costantino Grana, Rita Cucchia...