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» Color and Texture Feature For Content Based Image Retrieval
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CIIA
2009
13 years 11 months ago
Color Quantization and its Impact on Color Histogram Based Image Retrieval
The comparison of color histograms is one of the most widely used techniques for Content-Based Image Retrieval. Before establishing a color histogram in a defined model (RGB, HSV o...
Khouloud Meskaldji, Samia Boucherkha, Salim Chikhi
CBMS
2003
IEEE
14 years 3 months ago
Retrieval by Content of Medical Images Using Texture for Tissue Identification
This work aims at supporting the retrieval and indexing of medical images by extracting and organizing intrinsic features of them, more specifically texture attributes from images...
Joaquim Cezar Felipe, Agma J. M. Traina, Caetano T...
ICIP
1999
IEEE
14 years 12 months ago
Water-Filling: A Novel Way for Image Structural Feature Extraction
The performance of a content based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. In this paper, a new ap...
Xiang Sean Zhou, Yong Rui, Thomas S. Huang
SCIA
2005
Springer
220views Image Analysis» more  SCIA 2005»
14 years 3 months ago
Block-Based Methods for Image Retrieval Using Local Binary Patterns
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Valtteri Takala, Timo Ahonen, Matti Pietikäin...