Title :
Image edge detection based on wavelet transform and Canny operator
Author :
Deng, Cai-xia ; Bai, Ting-ting ; Geng, Ying
Author_Institution :
Appl. Sci. Coll., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
A method for image edge detection based on image fusion is presented in this paper. Since traditional wavelet transforms are unable to control the noise well and the edge is not consistent with direction properties, some improvements are made and a new kind of wavelet transform is proposed. It detects the edge of original image by means of new wavelet transform and Canny operator respectively, then produces a new image by fusing and analyzing the two results based on the experimental results. It is shown that the proposed method provides clearer and smoother edges than that using Sobel or wavelet transformation algorithms alone. This algorithm is simple, useful and easy to implement.
Keywords :
algorithm theory; edge detection; image fusion; wavelet transforms; Canny operator algorithm; image edge detection; image fusion; wavelet transform; Continuous wavelet transforms; Educational institutions; Fourier transforms; Image analysis; Image edge detection; Image fusion; Pattern analysis; Pattern recognition; Wavelet analysis; Wavelet transforms; Canny operator; Edge detection; Wavelet transform;
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
DOI :
10.1109/ICWAPR.2009.5207469