Extraction of texture features from arbitrary-shaped regions for image retrieval
Contribuinte(s) |
W. Grosky L. Chen |
---|---|
Data(s) |
01/01/2004
|
Resumo |
Lots of work has been done in texture feature extraction for rectangular images, but not as much attention has been paid to the arbitrary-shaped regions available in region-based image retrieval (RBIR) systems. In This work, we present a texture feature extraction algorithm, based on projection onto convex sets (POCS) theory. POCS iteratively concentrates more and more energy into the selected coefficients from which texture features of an arbitrary-shaped region can be extracted. Experimental results demonstrate the effectiveness of the proposed algorithm for image retrieval purposes. |
Identificador | |
Idioma(s) |
eng |
Publicador |
IEEE Communications Society |
Palavras-Chave | #E1 #280103 Information Storage, Retrieval and Management #700103 Information processing services |
Tipo |
Conference Paper |