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ICIP
2005
IEEE

Combining interest points and edges for content-based image retrieval

13 years 1 months ago
Combining interest points and edges for content-based image retrieval
Abstract-- This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterized by two kinds of features: Harris-Laplace interest points described by the SIFT descriptor and edges described by the edge color histogram. Edges and corners contain the maximal amount of information necessary for image retrieval. The feature detection in this work is an integrated process: edges are detected directly based on the Harris function; Harris interest points are detected at several scales and HarrisLaplace interest points are found using the Laplace function. The combination of edges and interest points brings efficient feature detection and high recognition ratio to the image retrieval system. Experimental results show this system has good performance.
Junqiu Wang, Hongbin Zha, Roberto Cipolla
Added 23 Oct 2009
Updated 14 Nov 2009
Type Conference
Year 2005
Where ICIP
Authors Junqiu Wang, Hongbin Zha, Roberto Cipolla
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