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Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China
作者:  
Wang Y.-Q.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all  two images of the adjoining frames are processed by convolution operation  get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.  
Bi-camera ranger-finder and error analyze based on binocular parallax (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Vibration, Structural Engineering and Measurement, ICVSEM2011, October 21, 2011 - October 23, 2011, Shanghai, China
Wang Z. C.; Dai M.; Huang J.; Wang Y. Y.; Chen X. L.; Gao Y. J.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
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:28/0  |  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.  
TextureGrow: Object recognition and segmentation with limit prior knowledge (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China
Yao Z.; Han Q.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
In this paper we present a new method for automatically visual recognition and semantic segmentation of photographs. Our automatically and rapidly approach based on Cellular Automation. Most of the analysis and description of recognition and segmentation are based on statistical or structural properties of this attribute  most of them need plenty of samples and prior Knowledge. In this paper  within a few evident samples (not too many)  we can first get the texture feature of each component and the structures  then select the approximately location randomly of the objects or patches of them  then we use the Cellular Automata algorithm to "grow" based on texture of different objects. The grow progress will stop When texture grow to the boundary. By this steps a new method is found which allow us use very few samples and low lever experience and get a rapidly and accuracy way to recognize and segment objects. We found that this new propose gives competitive results with limited experience and samples. 2011 IEEE.  
A high precision time-to-digital converter based on multi-phase clock implemented within Field-Programmable-Gate-Array 期刊论文  OAI收割
NUCLEAR SCIENCE AND TECHNIQUES, 2010, 卷号: 21, 页码: 123-128
作者:  
Chen Kai;  Liu Shubin;  An Qi
  |  收藏  |  浏览/下载:23/0  |  提交时间:2018/05/31
The system of 24-channel digital potentiometers based on single-chip microcomputer (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Song X.-R.; Liu Z.-G.; Wu Z.-Y.; Yu A.-F.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
This paper introduces that using digital potentiometers output 24-channel resistance to simulate the thermistors. Every channel has two digital potentiometers  one is low resolution and high value  the other is high resolution and low value. They are connected through Daisy-Chain and share chip-select. 24-channel digital potentiometers share the SPI's clock and SDI. Input the parameter in the computer and then send it to the single-chip microcomputer. The single-chip microcomputer receives the parameter and sends it to the digital potentiometers. After correcting the errors  the system meets the demands which are resistance range of 040K and maximum error of 15. The design can replace the traditional way in which the mechanical potentiometers are used to simulate the thermistors. 2010 IEEE.  
Variation of microstructure and composition of the Cr(2)AlC coating prepared by sputtering at 370 and 500 degrees C 期刊论文  OAI收割
Surface & Coatings Technology, 2010, 卷号: 204, 期号: 23, 页码: 3838-3845
J. J. Li; L. F. Hu; F. Z. Li; M. S. Li; Y. C. Zhou
收藏  |  浏览/下载:34/0  |  提交时间:2012/04/13
A "Nonsterile" Method for Selecting and Growing Arabidopsis thaliana Transformants (T-2 Transgenic Lines) Resistant to Kanamycin 期刊论文  iSwitch采集
PLANT MOLECULAR BIOLOGY REPORTER, 2008, 卷号: 26, 期号: 4, 页码: 350-357
作者:  
Xu, Weifeng;  Shi, Weiming
收藏  |  浏览/下载:43/0  |  提交时间:2019/10/10
A "nonsterile" method for selecting and growing arabidopsis thaliana transformants (t-2 transgenic lines) resistant to kanamycin 期刊论文  iSwitch采集
Plant molecular biology reporter, 2008, 卷号: 26, 期号: 4, 页码: 350-357
作者:  
Xu, Weifeng;  Shi, Weiming
收藏  |  浏览/下载:57/0  |  提交时间:2019/05/10
Real time tracking by LOPF algorithm with mixture model (EI CONFERENCE) 会议论文  OAI收割
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, November 15, 2007 - November 17, 2007, Wuhan, China
Meng B.; Zhu M.; Han G.; Wu Z.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
A new particle filter-the Local Optimum Particle Filter (LOPF) algorithm is presented for tracking object accurately and steadily in visual sequences in real time which is a challenge task in computer vision field. In order to using the particles efficiently  we first use Sobel algorithm to extract the profile of the object. Then  we employ a new Local Optimum algorithm to auto-initialize some certain number of particles from these edge points as centre of the particles. The main advantage we do this in stead of selecting particles randomly in conventional particle filter is that we can pay more attentions on these more important optimum candidates and reduce the unnecessary calculation on those negligible ones  in addition we can overcome the conventional degeneracy phenomenon in a way and decrease the computational costs. Otherwise  the threshold is a key factor that affecting the results very much. So here we adapt an adaptive threshold choosing method to get the optimal Sobel result. The dissimilarities between the target model and the target candidates are expressed by a metric derived from the Bhattacharyya coefficient. Here  we use both the counter cue to select the particles and the color cur to describe the targets as the mixture target model. The effectiveness of our scheme is demonstrated by real visual tracking experiments. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident when the target encountering the occlusion in real video where the standard particle filter usually fails.