DocumentCode
696920
Title
Contour-based object recognition using wavelet-transform
Author
Cheikh, Faouzi Alaya ; Quddus, Azhar ; Gabbouj, Moncef
Author_Institution
Tampere University of Technology (TUT), Signal Processing Laboratory, P.O. Box 553, FIN-33101, Tampere, Finland
fYear
2000
fDate
4-8 Sept. 2000
Firstpage
1
Lastpage
4
Abstract
In this paper we propose a new approach for shape recognition using the wavelet transform modulus maxima. And we apply it to the problem of content-based indexing and retrieval of fish contours. The description scheme and the similarity measure proposed here are simple and take into consideration the way our visual system perceives objects and compares them. The proposed scheme is invariant to translation, rotation, scale change and to noise corruption. Moreover, this description scheme allows accurate reconstruction of the shape boundary from the feature vector used to describe it. The experimental results and comparisons show the good performance of the proposed technique.
Keywords
Cascading style sheets; Feature extraction; Marine animals; Shape; Signal processing algorithms; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2000 10th European
Conference_Location
Tampere, Finland
Print_ISBN
978-952-1504-43-3
Type
conf
Filename
7075766
Link To Document