中国科学院机构知识库网格
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Spherical T-duality and the spherical Fourier-Mukai transform 期刊论文  iSwitch采集
JOURNAL OF GEOMETRY AND PHYSICS, 2018, 卷号: 133, 页码: 303-314
作者:  
Bouwknegt, Peter;  Evslin, Jarah;  Mathai, Varghese
收藏  |  浏览/下载:24/0  |  提交时间:2019/10/09
Spherical T-duality and the spherical Fourier-Mukai transform 期刊论文  OAI收割
JOURNAL OF GEOMETRY AND PHYSICS, 2018, 卷号: 133, 页码: 303-314
作者:  
Bouwknegt, Peter;  Evslin, Jarah;  Mathai, Varghese
  |  收藏  |  浏览/下载:21/0  |  提交时间:2019/03/27
Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection 期刊论文  OAI收割
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 卷号: 57, 期号: 10, 页码: 2622-2626
作者:  
Zhang, Xing;  Tian, Jie;  Deng, Kexin;  Wu, Yongfang;  Li, Xiuli
收藏  |  浏览/下载:29/0  |  提交时间:2015/08/12
Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wu Y.-H.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.  
Detection and tracking of low contrast targets based on integertype lifting wavelet transform (EI CONFERENCE) 会议论文  OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wang L.;  Wang L.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:18/0  |  提交时间:2013/03/25
This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template  but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets  the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So  we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.  
Electrochemical noise study on 2024-T3 Aluminum alloy corrosion in simulated acid rain under cyclic wet-dry condition 期刊论文  OAI收割
Electrochimica Acta, 2006, 卷号: 51, 期号: 23, 页码: 4977-4986
Y. Y. Shi; Z. Zhang; J. X. Su; F. H. Cao; J. Q. Zhang
收藏  |  浏览/下载:24/0  |  提交时间:2012/04/14
Aerial image blurring caused by image motion and its restoration using wavelet transform (EI CONFERENCE) 会议论文  OAI收割
Electronic Imaging and Multimedia Technology IV, November 8, 2004 - November 11, 2004, Beijing, China
作者:  
Liu G.
收藏  |  浏览/下载:34/0  |  提交时间:2013/03/25
A wavelet-based approach of aerial blurred image restoration is proposed in this article. Image motion is inevitable in photographing for aerospace camera. Though some Image Motion Compensation(IMC) schemes are applied in aerial imaging system  the ultimate image will be blurred in certain extent for the existence of IMC residual error  while the forward image motion is the key element among all image motions which lead to image blurring. First the course of blurring caused by forward image motion is expressed using wavelet transform  and a multiresolution sparse matrix representation of the degeneration model is obtained according to the wavelet transform. Subsequently a regularizing restoration algorithm is deduced from it  and which can smoothly restraint the processed result efficiently. In the end the proposed approach is tested in MATLAB. The blurred image is restored using above-mentioned wavelet algorithm  conventional contrary filter and Wiener filter algorithm separately. The conclusion that the wavelet-based restoration algorithm is superior to other two approaches is obtained by comparing the restored image's value of mean gradient. The calculating quantity of the wavelet-based blurred image restoration approach isn't large and it has good practicability in the field of image interpretation and aerial survey or drawing.  
On Wick product of generalized operators 期刊论文  OAI收割
CHINESE SCIENCE BULLETIN, 1998, 卷号: 43, 期号: 15, 页码: 1252-1256
作者:  
Luo, SL;  Yan, JA
  |  收藏  |  浏览/下载:12/0  |  提交时间:2018/07/30