中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Step-by-step pipeline processing approach for line segment detection 期刊论文  OAI收割
IET Image Processing, 2017, 卷号: 11, 期号: 6, 页码: 416-424
作者:  
Zheng, Tianjiang;  Chang Z(常铮);  Luo HB(罗海波);  Ding QH(丁庆海);  Shao CY(邵春艳)
  |  收藏  |  浏览/下载:37/0  |  提交时间:2017/07/17
Corner detection using Gabor filters 期刊论文  OAI收割
iet image processing, 2014, 卷号: 8, 期号: 11, 页码: 639-646
作者:  
Zhang, Wei-Chuan;  Wang, Fu-Ping;  Zhu, Lei;  Zhou, Zuo-Feng
收藏  |  浏览/下载:51/0  |  提交时间:2015/03/19
Using the Canny edge detector and mathematical morphology operators to detect vegetation patches 会议论文  OAI收割
Proceedings of SPIE
作者:  
Huang C.
收藏  |  浏览/下载:19/0  |  提交时间:2012/06/30
The research of corner detector of teeth image based on the curvature scale space corner algorithm (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:  
Yang L.;  Wang X.;  Wang X.;  Wang X.;  Yang L.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
Directional multiscale edge detection using the contourlet transform (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:  
Jin L.-X.;  Han S.-L.;  Zhang R.-F.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
Wavelet multiresolution analysis allows us to detect edges at different scales  also to obtain other important aspects of the extracted edges. However  due to the usual two-dimensional tensor product  wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities  and the extracted edges are not continuous. In order to solve that problem  we propose a new image edge detection method based on the contourlet transform. The directional multiresolution representation Contourlet takes advantages of the intrinsic geometrical structure of images  and is appropriate for the analysis of the image edges. Using the modulus maxima detection  an image edge detection method based on contourlet transform is proposed. To suppress the image noise effect on edge detection  the scale multiplication in contourlet domain is also proposed. Through real images experiments  the proposed edge detection method's performance for the extracted edges is analyzed and compared with other two edge detection methods. The experiment result proves that the proposed edge detection method improves over wavelet-based techniques and Canny detector  and also works well for noisy images. 2010 IEEE.