DocumentCode :
1378096
Title :
Recognition of 2D object contours using the wavelet transform zero-crossing representation
Author :
Tieng, Quang Minh ; Boles, W.W.
Author_Institution :
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia
Volume :
19
Issue :
8
fYear :
1997
fDate :
8/1/1997 12:00:00 AM
Firstpage :
910
Lastpage :
916
Abstract :
A new algorithm to recognize a two-dimensional object of arbitrary shape is presented. The object boundary is first represented by a one-dimensional signal. This signal is then used to build the wavelet transform zero-crossing representation of the object. The algorithm is invariant to translation, rotation and scaling. Experimental results show that, compared with the use of Fourier descriptors, our algorithm gives more stable and accurate results
Keywords :
Fourier transforms; object recognition; wavelet transforms; 2D object contours; object boundary; rotation invariance; scaling invariance; translation invariance; wavelet transform zero-crossing representation; Feature extraction; Image analysis; Labeling; Layout; Noise shaping; Object recognition; Photometry; Shape; Signal processing algorithms; Wavelet transforms;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.608294
Filename :
608294
Link To Document :
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