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A Novel Framework for 2.5-D Building Contouring From Large-Scale Residential Scenes 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 6, 页码: 4121-4145
作者:  Du, Jianli;  Chen, Dong;  Wang, Ruisheng;  Peethambaran, Jiju;  Mathiopoulos, P. Takis
收藏  |  浏览/下载：76/0  |  提交时间：2019/07/17
Evaluation of mesh- and binary-based contour propagation methods in 4D thoracic radiotherapy treatments using patient 4D CT images 期刊论文
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 卷号: 36, 页码: 46-53
作者:  Ma, Yuanyuan;  Liu, Xinguo;  Dai, Zhongying;  He, Pengbo;  Yan, Yuanlin
收藏  |  浏览/下载：53/0  |  提交时间：2019/10/09
Evaluation of mesh- and binary-based contour propagation methods in 4D thoracic radiotherapy treatments using patient 4D CT images 期刊论文
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 卷号: 36, 页码: 46-53
作者:  Ma, Yuanyuan;  Liu, Xinguo;  Dai, Zhongying;  He, Pengbo;  Yan, Yuanlin
收藏  |  浏览/下载：24/0  |  提交时间：2018/05/31
Cascade framework for object extraction in image sequences 其他
2012-01-01
Li, Peng; Cai, Zhipeng; Wang, Cheng; Sun, Zhuo; Wang, Hanyun; Li, Jonathan; 王程; 李军
收藏  |  浏览/下载：1/0  |  提交时间：2015/07/22
组织仿体液中近红外荧光分子探针的3-D成像 期刊论文
2010, 2010
胡刚; 姚俊杰; 宋小磊; 白净; HU Gang; YAO Jun-jie; SONG Xiao-lei; BAI Jing
收藏  |  浏览/下载：4/0
The tidal tails of globular cluster Palomar 5 based on the neural networks method 期刊论文
RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2009, 卷号: 9, 期号: 10, 页码: 1131-1148
作者:  Zou, Hu;  Wu, Zhen-Yu;  Ma, Jun;  Zhou, Xu
收藏  |  浏览/下载：12/0  |  提交时间：2017/04/18
Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文
International Symposium on Photoelectronic Detection and Imaging, ISPDI 2007: Related Technologies and Applications, September 9, 2007 - September 12, 2007, Beijing, China
Meng B.; Zhu M.
收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25
The problem of extracting continuous structures from images is a difficult issue in early pattern recognition and image processings[1]. Tracking with contours in a filtering framework requires a dynamical model for prediction. Recently  Particle filter  is widely used because its multiple hypotheses and versatility within framework. However  the good choice of the propagation function is still its main problem. In this paper  an improved particle filter  EM-PF algorithm is proposed which using the EM (Expectation-Maximization) algorithm to learn the dynamical models. The EM algorithm can explicitly learn the parameters of the dynamical models from training sequences. The advantage of using the EM algorithm in particle filter is that it is capable of improve tracking contour by having accurate model parameters. Though the experiment results  we show how our EM-PF can be applied to produces more robust and accurate extracting.  
Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
Sun J.; Ma D.
收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25
The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task  for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type  the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP  but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly  we use frame grabber to capture the 4-bar target image data. Then according to image gray scale  we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets  along with known target visibility  are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm  demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.  
医学图像分割及二维轮廓数据处理技术研究 学位论文
硕士, 中国科学院沈阳自动化研究所: 中国科学院沈阳自动化研究所, 2005
张慧
收藏  |  浏览/下载：41/0  |  提交时间：2012/08/29
基于视觉的人的运动跟踪和识别的研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2001
作者:  胡长勃
收藏  |  浏览/下载：30/0  |  提交时间：2015/09/02

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