Affiliation:
1. Jilin Business and Technology College
Abstract
The classical Sobel edge detection operator has the shortcomings of low edge positioning accuracy and coarse edge, image edge detection based on improved Sobel operator and clustering algorithm was proposed. Four Sobel-like edge operators are used to improve the edge positioning accuracy and clustering algorithm are used to edge thinning. The experimental result demonstrates that the effect of the edge detection is greatly improved comparing with the traditional edge detection methods.
Publisher
Trans Tech Publications, Ltd.
Reference6 articles.
1. Armistead. Emmanuel J, Candes and David Lopoho, Curvelets A Surprisingly Effective Nonadaptive Representation For Objects with Edges.
2. J.L. Starck, D. L, Donoho, and E.J. Candes. Astronomical image representation by the curvelet transform. Astronomy & Astrophysics 398, 2003, 785-800.
3. Suchemdra M. Bhandarkar, Xingzhi Luo. Richard Daniels. E William Tollner, Detetion of cracks in computer tomogtaphy images of logs. Pattern Recognition Letter 26(2005). 2282-2284.
4. N. Otsu, A threshold selection method from gray-scale histogram, IEEE Trans. Syst. Man Cybem 9(1) (1979)62-66.
5. YuQing Hou. Huan Zhang, Jing Shi. A improved adaptive variation denoising model[J]. Northwest university, 2008, 38(3) : 371-373.
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