中国科学院机构知识库网格系统: 检索

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 | 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：65/0 | 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.

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.

收藏 | 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 | 浏览/下载：35/0 | 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.

收藏 | 浏览/下载：15/0 | 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

Algorithm research of flexible graphplan based on heuristic (EI CONFERENCE) 会议论文 OAI收割
9th International Conference for Young Computer Scientists, ICYCS 2008, November 18, 2008 - November 21, 2008, Zhang Jia Jie, Hunan, China
作者: Xu S.; Wang X.; Wang X.; Wang X.; Sun Y.

收藏 | 浏览/下载：11/0 | 提交时间：2013/03/25

Classic Graphplan has too much restriction on capturing the full subtlety of many real problems. Flexible Graphplan is defined which supports the soft constraints often found in reality. Heuristic concept is introduced to the process of plan extraction in flexible graphplan in order to improve the efficiency of plan extraction and the quality of plan. A novel algorithm using the new heuristic function which is applied by improved sum mutex heuristic to deal with planning problems is proposed. Sum mutex heuristic which is in common use as heuristic function takes into account only static propositional mutexes and ignores the mutexes of actions. The performance of the new algorithm on many benchmark problems is remarkably robust. It can solve many planning problems which can't be solved by the heuristic state space search planning system using sum mutex heuristic. 2008 IEEE.

Stochastic video signal's automatic identification and image reproduction (EI CONFERENCE) 会议论文 OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
Mingxiu L.; Guangliang H.

收藏 | 浏览/下载：11/0 | 提交时间：2013/03/25

In order to realize the automatic extraction of stochastic signal's horizontal synchronization frequency and the stable reproduction of video image different image features of horizontal synchronization blanking signal under different deviation are analyzed and spectrum analysis algorithm of horizontal synchronization frequency texture feature extraction algorithm of slope image and phase feature extraction algorithm of drifting image are put forward. Based on the three algorithms the hierarchical automatic recognition algorithm is put forward to automatically control the adjusting of the horizontal synchronization frequency and realize the reproduction. The algorithm was applied in the automatic interception system of computer video leaking information and quick interception and stable reproduction of computer video leaking information were achieved. 2007 IEEE.