中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
地理科学与资源研究所 [1]
沈阳自动化研究所 [1]
西安光学精密机械研究... [1]
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OAI收割 [5]
内容类型
会议论文 [3]
期刊论文 [2]
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2017 [1]
2014 [1]
2011 [1]
2010 [2]
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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
image segmentation
affine transforms
edge detection
eigenvalues and eigenfunctions
line segment detection
step-by-step pipeline processing approach
resistant to affine transformation and monotonic intensity change descriptor
RATMIC descriptor
Canny detector
Harris corner detector
regions of interest
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
edge detection
Gabor filters
grey systems
affine transforms
Gabor filter
contour-based corner detection
magnitude response
edge contour shape analysis
local curvature maxima points
planar curve
corresponding grey-variation information
Canny edge detector
normalised magnitude response
magnitude response threshold
angle threshold
detection accuracy
localisation accuracy
afflne transform
noise-robustness
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
Canny edge detector
vegetation patch
mathematical morphology
operators
detect
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
In order to detect the corners of the teeth image
secondly
thirdly
last
this method can detects the corners of the teeth image effectively
which were acquired by oral cavity endoscope
we segmented the image by the threshold based on the gray value of the image
we detected the edge of the teeth image by the Canny edge detector
we detected the corners by the adaptive threshold curvature scale corner detector. Through lots of experiments and we compare this method to other corner detector methods
which offers some available parameters for the 3D reconstruction of the teeth. 2010 IEEE.
in this paper
we used the CSS algorithm. In this method
firstly
we removed the noise of the image by the morphology open operation and median filtering
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.