DocumentCode :
3015134
Title :
Experiments with wavelet and other edge detection techniques
Author :
Rifaat, R. ; Kinsner, W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fYear :
1997
fDate :
22-23 May 1997
Firstpage :
322
Lastpage :
326
Abstract :
This paper discusses experimental work with a wavelet edge detection technique for still images. A brief overview of wavelets and other methods for edge detection is given along with images comparing the results. Several different image classes are examined and processed. Two test images are discussed in order to determine the properties of the system. An experimental image is used to obtain insight into the practical application of the technique. Advantages of the wavelet transform method include multiscale resolution, improved noise handling, and edge direction information
Keywords :
edge detection; image resolution; noise; wavelet transforms; edge direction information; experiments; image classes; multiscale resolution; noise handling; still images; test images; wavelet edge detection; wavelet transform method; Detectors; Discrete wavelet transforms; Filters; Frequency; Image edge detection; Image segmentation; Pixel; System testing; Wavelet domain; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
WESCANEX 97: Communications, Power and Computing. Conference Proceedings., IEEE
Conference_Location :
Winnipeg, Man.
Print_ISBN :
0-7803-4147-3
Type :
conf
DOI :
10.1109/WESCAN.1997.627161
Filename :
627161
Link To Document :
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