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

Volume

2

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

921

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.825385

Filename

825385