DocumentCode :
2277965
Title :
Feature-based retrieval of similar shapes
Author :
Mehrotra, Rajiv ; Gary, James E.
Author_Institution :
Dept. of Comput. Sci., Kentucky Univ., Lexington, KY, USA
fYear :
1993
fDate :
19-23 Apr 1993
Firstpage :
108
Lastpage :
115
Abstract :
A shape similarity-based retrieval method for image databases that supports a variety of queries is proposed. It is flexible with respect to the choice of feature and definition of similarity and is implementable using existing multidimensional point access methods. A prototype system that handles the problems of distortion and occlusion is described. Experiments with one specific point access method (PAM) are presented
Keywords :
feature extraction; image recognition; information retrieval; mathematical morphology; query processing; visual databases; distortion; feature based retrieval; image databases; multidimensional point access methods; occlusion; queries; shape similarity-based retrieval method; Database systems; Image databases; Image retrieval; Indexes; Information retrieval; Multidimensional systems; Organizing; Query processing; Shape measurement; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering, 1993. Proceedings. Ninth International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-3570-3
Type :
conf
DOI :
10.1109/ICDE.1993.344072
Filename :
344072
Link To Document :
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