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CAS IR Grid
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长春光学精密机械与... [13]
遥感与数字地球研究所 [4]
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OAI收割 [18]
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会议论文 [18]
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2013 [1]
2012 [3]
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A novel algorithm for action landmarks extraction (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Advanced Materials and Computer Science, ICAMCS 2012, December 27, 2012 - December 28, 2012, Xiamen, China
作者:
Zhao J.
收藏
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浏览/下载:11/0
  |  
提交时间:2013/03/25
In this work
we present a new algorithm for extracting action landmarks from proposition landmarks graph. Compared to published approaches
the action landmarks extraction algorithm we proposed can find more disjunctive action landmarks and single action landmarks. We illustrate our ideas with experiments among benchmark domains. The experiments show that the new algorithm is competitive with traditional algorithm for finding action landmarks from relaxed plan graph. (2013) Trans Tech Publications
Switzerland.
A sub-pixel extraction method for the center of the circular structure from spot array calibration target (EI CONFERENCE)
会议论文
OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
作者:
Liu Y.
;
Zhang T.
;
Yang H.
;
Gao X.
;
Liu Y.
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2013/03/25
The imaging measurement system must be calibrated before application. In calibration procedure
sub-pixel center extraction is the crucial step for the final accuracy. In this paper
a new sub-pixel extraction method is proposed. Edge detection at pixel level is obtained using LOG operator
then sub-pixel edge detection is realized using the Facet model. Finally
the least squares ellipse fitting is operated on the sub-pixel edge to determine the sub-pixel center. Experiment on a series of simulated images indicates that this algorithm is able to realize the center location accuracy of 0.01-0.02 pixel
and meets the requirement of sub-pixel level. (2012) Trans Tech Publications
Switzerland.
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE)
会议论文
OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:
Wang X.
;
Wang X.
;
Wang X.
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model
can detect the features of the teeth image effectively. In this approach
first
search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second
select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third
assign one or more orientations to each keypoint location based on local image gradient directions. Last
measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods
this method can detect the features of the teeth model effectively
and offer some available parameters for 3D reconstruction of the teeth model. the authors.
An Innovative Method Of Endmember Extraction Of Hyperspectral Remote Sensing Image Using Elitist Ant System (EAS)
会议论文
OAI收割
2012 International Conference on Industrial Control and Electronics Engineering (Icicee)
Sun Xu
;
Zhang Bing
;
Gao Lianru
;
Yang Lina
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2014/12/07
Hyperspectral Remote Sensing
Endmember Extraction
Ant Colony
Optimization
Elitist Ant System
ALGORITHM
Multi-scale edge extraction based stereo matching algorithm (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Frontiers of Manufacturing and Design Science, ICFMD2010, December 11, 2010 - December 12, 2010, Chongqing, China
作者:
Li L.
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  |  
浏览/下载:11/0
  |  
提交时间:2013/03/25
In the field of robot vision
edge feature based stereo matching algorithm can reconstruct the targets with clear contours
which needs accurate and continuous target edges been extracted. In the paper
the smoothing filter operator was designed based on the discrete criteria of edge extraction and its correspondence optimal linear filter. Edge extraction was carried out incorporated the nonmaximum suppression and two thresholds techniques. The discrete criteria based multi-scale edge extraction method was studied with full use of the multi-scale character of the edge information. The detected multi-scale edges were synthesized to obtain the accurate and continuous single pixel wide edge. Then an edge feature based stereo matching algorithm was proposed to obtain 3D information of target. The experimental results demonstrate that the method can effectively suppress disturbance in outdoor environment and reconstruct target contour clearly. (2011) Trans Tech Publications.
MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE)
会议论文
OAI收割
2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China
作者:
Zhang T.
;
Gao X.
收藏
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浏览/下载:35/0
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提交时间:2013/03/25
Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments
precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea
left and right main bronchus
as well as bronchi)
the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper
we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity
and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images
and results show that it is able to segment bronchioles
and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.
Three-sample rotation vector algorithm with angular rate input (EI CONFERENCE)
会议论文
OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
作者:
Zhang Y.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
In order to research the attitude algorithm with angular rate input under the conical motion
a optimal threesample rotation vector algorithm based on single-step Newton backward interpolation is proposed. Using the principle of limited rigid body rotation and the characteristic of angular rate input
three-sample rotation vector algorithm is derivated. To minimum attitude errors
three-sample rotation vector algorithm is optimized. Three angular rate extraction methods of singlestep entire sample recursion
multi-step entire sample and singlestep Newton backward interpolation are proposed. Under the condition of conical motion with semi-cone angle 3 and angular frequency 2rad/s
simulation is done. The simulation results show that single-step Newton backward interpolation is superior to the other two methods
and its maximum error peak is 0.01
error drift rate is 0.036/h. Experiments in three-axis flying turntable with the same parameters are carried out
and the results show that error drift rates of three-channels are less than those of traditional quaternion
which are 13.53%
12.08% and 23.68% lower respectively. It also verified that the new algorithm can perform a high accuracy under the conical motion. 2011 IEEE.
Extracting sea-sky-line based on improved local complexity (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:
Zhang Y.-F.
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浏览/下载:15/0
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提交时间:2013/03/25
Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise
and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally
Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds
which is robust and can improve noise immunity of the algorithm. 2010 IEEE.
Scene matching based on directional keylines and polar transform (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision
it has the characteristics of rotation and scaling invariance
commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes
anti-light and anti-slight-distortion
the image distortion exist
applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation
such as light
and utilize the rotation-scale-invariance vectors to describe the extracted keylines
change of gray levels
this method includes three steps: keylines extraction
perspective
description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.
scaling and other differences
which cause matching difficult. This paper aims to find a scene matching algorithm
Building Extraction Using Dual-aspect High Resolution SAR Images
会议论文
OAI收割
2010 18th International Conference on Geoinformatics
Zhang, Fengli
;
Shao, Yun
;
Zhang, Xiao
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2014/12/07
high resolution SAR
building extraction
dual-aspect
constant false
alarm rate algorithm
hough transform