DocumentCode
1320697
Title
Deformed shape retrieval based on Markov model
Author
Chang, Fa-Shyang ; Chen, Shu-Yuan
Author_Institution
Dept. of Comput. Eng. & Sci., Yuan-Ze Univ., Chungli, Taiwan
Volume
36
Issue
2
fYear
2000
fDate
1/20/2000 12:00:00 AM
Firstpage
126
Lastpage
127
Abstract
A new deformed shape retrieval method based on the Markov model (MM) is proposed. The proposed method is translation rotation and scale invariant. In addition, it is robust to various non-rigid deformations such as perspective, shear, occlusion, pincushion, barrel and other nonlinear distortions. The proposed method has been applied to two databases: geometric and character. The effectiveness and practicability of the proposed approach have been proven by various experimental results
Keywords
Markov processes; character recognition; feature extraction; image recognition; image retrieval; visual databases; Markov model; character databases; deformed shape retrieval method; geometric databases;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000149
Filename
833136
Link To Document