DocumentCode :
2446132
Title :
A Multi-scale Edge Detection Algorithm Based on Wavelet Transform
Author :
Dun, Liu ; Dong, Yang
Author_Institution :
Dept. of Electr. Eng., Tianjin Univ. of Technol. & Educ.(TUTE), Tianjin, China
fYear :
2012
fDate :
1-3 Nov. 2012
Firstpage :
21
Lastpage :
24
Abstract :
The edge of the image is one of the most basic characteristics of image. It not only provides the basis for the image segmentation, but also the foundation of the shape features and texture characteristics and includes much useful information which is used in image identification. This paper introduces some classical edge detection methods, in the analysis of the advantages and disadvantages respectively, an edge detection algorithm based on the wavelet transform is proposed. The simulations show this algorithm obtains an ideal effect in edge location and noise suppression. The proposed algorithm provides an effective technology for the edge detection of the image.
Keywords :
edge detection; image denoising; image segmentation; image texture; wavelet transforms; edge location; image identification; image segmentation; multiscale edge detection algorithm; noise suppression; shape feature characteristics; shape texture characteristics; wavelet transform; Algorithm design and analysis; Discrete wavelet transforms; Image edge detection; Noise; Wavelet analysis; Edge detection; Image recognition; Wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2012 Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4673-3083-1
Type :
conf
DOI :
10.1109/ICINIS.2012.35
Filename :
6376475
Link To Document :
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