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Maximum Total Correntropy Diffusion Adaptation over Networks with Noisy Links 期刊论文
IEEE Transactions on Circuits and Systems II: Express Briefs, 2019, 卷号: 66, 页码: 307-311
作者:  He, Yicong;  Wang, Fei;  Wang, Shiyuan;  Ren, Pengju;  Chen, Badong
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/19
Rotation and scaling invariant feature lines for image matching (EI CONFERENCE) 会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Zhang Y.; Wang Y.; Qu H.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
Image matching has been one of the most fundamental issues computer vision over the decades. In this paper we propose a novel method based on making use of feature lines in order to achieve more robust image matching. The feature lines have the properties of rotation and scaling invariance  coined RIFLT(Rotation invariant feature line transform). Experimental results demonstrate the effectiveness and efficiency of the proposed method. Compare with the famous powerful algorithm Scale Invariant Feature Transform(SIFT)  the proposed method is more insensitive to noise. And for certain sequence of images  which contain clear lines  the proposed method is more efficiency. Using the feature lines obtained by our method  it is possible to matching two scene images with different rotation angles  scale and light distort. 2011 IEEE.  
Speech signal enhancement through wavelet domain MMSE filtering (EI CONFERENCE) 会议论文
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Fenghua Z.; Le Y.; Jian W.; Qiang S.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended  parametric  MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech  while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality  without causing considerable signal distortion and musical background noise method. 2010 IEEE.  
An image matching algorithm based on sub-block coding (EI CONFERENCE) 会议论文
2nd International Workshop on Computer Science and Engineering, WCSE 2009, October 28, 2009 - October 30, 2009, Qingdao, China
Feng Y.; Li S.; Dai M.
收藏  |  浏览/下载：21/0  |  提交时间：2013/03/25
In order to improve the speed of matching algorithm and simplify the processing of existing sub-block coding matching  a new template matching method combined local gray value encoding matching and phase correlation is proposed. Matching process is divided into rough matching and fine matching. Rough matching divides the image into certain size blocks called R-block  sums the gray value of each R-block pixel  encodes the R-block according to the gray value distribution of R-block with the adjacent R-block  and matches by step between the template and each search sub-image. Then  fine matching results are obtained using phase correlation according to initial match parameters. The time complexity of the proposed method is (M2) .The new algorithm is faster than traditional algorithm by two orders of magnitude  and the speed has improved twice compared with existing sub-block coding method. Experiments demonstrate that the new algorithm is robust to the linear transformation of pixel grey value and image noise  and it also has the stability of small-angle rotation. 2009 IEEE.  
Robust stabilization for a class of uncertain system with time-varying state delay (EI CONFERENCE) 会议论文
2009 ETP/IITA World Congress in Applied Computing, Computer Science, and Computer Engineering, ACC 2009, August 8, 2009 - August 9, 2009, Sanya, China
Yang Y.; Zhang R.; Zhang T.
收藏  |  浏览/下载：11/0  |  提交时间：2013/03/25
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE) 会议论文
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
Zhang X.; Sun H.; Wang Y.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper  we combine intensity  orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting  etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity  orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time  we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter  partial occlusions  illumination change  and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels  it only needs 12ms to complete the method. 2007 IEEE.  
An improved two-dimensional entropy method for star trail tracing in deep sky (EI CONFERENCE) 会议论文
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Yao Z.-J.; Wang Y.-J.; Han Q.-L.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
The trace of star trail is an important component of deep sky detection. The stars are low contrast targets  and their self-rotation will make their brightness change in cycle. Above all  the trail trace is vulnerable to the block and disturbance of other stars. Traditional one-dimensional maximum entropy thresholding algorithm is vulnerable to the noise  and the calculation of two-dimensional entropy methods is too large and takes too much time. This paper proposes an improved two-dimensional entropy threshold algorithm. We use recursion iteration method to eliminate the redundancy calculation  and reduce the size of two-dimensional histogram based on the deep sky stars characteristic  such as low contrast  fuzziness and the centralized histogram. We also combine our algorithm with the space trail trace model to forecast the star trace. Experiments results show  when the star are blocked or they turn dark  the method still can well extrapolate the star trace. Our method improves the capability of trailing the ebb and small star  and increases the precision of tracing. It is also robust to the noise  so there is a good application foreground for the method.  

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