Adaptive edge detection method for images

2008 ◽  
Vol 16 (1) ◽  
Author(s):  
A. Walczak ◽  
L. Puzio

AbstractThe novel two-dimensional (2D) wavelet with anisotropic property and application of it has been presented. Wavelet is constructed in the polar coordinate system to obtain anisotropic properties. A novel edge detection method has been developed with the aid of this wavelet. This method detects gradient jump and than follows along this jump. In this way the number of calculation for edge localization is reduced. Moreover, the presented method is able to detect all edges in an image in multi-scale together with its spatial orientation. Proposed wavelet as well as edge extraction method seems to be new way to edge detection for an image.

2012 ◽  
Vol 220-223 ◽  
pp. 2828-2832
Author(s):  
Bo Chen ◽  
Meng Jia

Edge detection and target segmentation is difficult due to noise existing in an image. A novel edge detection method is proposed based on soft morphological operations in this paper. Because soft morphological operations can remove noise while preserving image details, which can be used to construct morphological edge detection operators with high robustness and better edge effect. Experimental results show that, comparing with the existing edge detection operators, the novel edge detection method can get better edge effect while removing pseudo edges.


2012 ◽  
Vol 542-543 ◽  
pp. 850-853
Author(s):  
Nao Sheng Qiao ◽  
Jing Tang

Aiming at the dark printed circuit board photoelectric image that contains noise acquired by CCD system, the edge detection method by using multi-scale wavelet transform is proposed. Firstly, its basic principle is analyzed in detail, and the simple physics explanation and formula deduction are given. Secondly, the idiographic detection steps are given. Finally, the results of experiment verify the correctness of theory analysis.


Author(s):  
Ying Zhao* ◽  
Youxi Yue ◽  
Jianliang Huang ◽  
Jiao Wang ◽  
Bingqing Liu ◽  
...  

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