Title :
Edge refinement method for content-based image retrieval
Author :
Malik, Aamir Saeed ; Nisar, Humaira
Author_Institution :
Dept. of Inf. & Commun., Kwangju Inst. of Sci. & Technol., South Korea
fDate :
6/21/1905 12:00:00 AM
Abstract :
Standard histograms, because of their efficiency and insensitivity to small changes, are widely used for content based image retrieval. But the main disadvantage of histograms is that many images of different appearances can have similar histograms because histograms provide coarse characterization of an image. In this paper, the technique defined is based on histogram refinement and we call it edge refinement. Edge refinement splits the pixels in a given bucket into several classes just like histogram refinement method. The classes are all related to edges and are based on edge coherence vector
Keywords :
content-based retrieval; edge detection; coarse characterization; content-based image retrieval; edge coherence vector; edge refinement method; histogram refinement; insensitivity; standard histograms; Cameras; Clustering algorithms; Communication standards; Content based retrieval; Histograms; Image databases; Image retrieval; Information retrieval; Mechatronics; Testing;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.825385
