Title :
Study on improved algorithm for image edge detection
Author :
Lixia, Jiang ; Wenjun, Zhou ; Yu, Wang
Author_Institution :
Sch. of Electr. Eng., Bohai Shipbuilding Vocational Coll., Huludao, China
Abstract :
It has enormous development with the wavelet theory applied to image edge detection for its well properties of multi-scale edge detection. The traditional wavelet algorithm has bad sensitive to direction properties that applied to analysis image edge detection, and it is the major disadvantage. So the traditional wavelet about this is improved and puts forward a kind of new wavelet transform algorithm used for image edge detection. Compared improved wavelet algorithm with traditional wavelet for edge detection, it shows that new wavelet transform is more suitable for image edge detection and the clearer detection result is obtained. Complete image edge as well as accurate positioning and can reserve better detail information.
Keywords :
edge detection; wavelet transforms; image edge detection; improved wavelet algorithm; multiscale edge detection; wavelet theory; wavelet transform algorithm; Detection algorithms; Fourier transforms; Frequency domain analysis; Image edge detection; Image processing; Signal processing; Signal processing algorithms; Wavelet analysis; Wavelet domain; Wavelet transforms; Algorithm; Canny operator; Image edge detection; Wavelet;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451626