机构

• 西安光学精密机械研究... [2]
• 长春光学精密机械与物... [1]
• 高能物理研究所 [1]
• 自动化研究所 [1]
• 生态环境研究中心 [1]
• 地球环境研究所 [1]
• 更多

采集方式

• OAI收割 [6]
• iSwitch采集 [1]

内容类型

• 期刊论文 [6]
• 会议论文 [1]

发表日期

• 2019 [3]
• 2013 [2]
• 2008 [1]
• 1995 [1]

学科主题

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Local difference-based active contour model for medical image segmentation and bias correction 期刊论文  OAI收割 IET Image Processing, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762 作者:  Niu, Yuefeng;  Cao, Jianzhong   |  收藏  |  浏览/下载：71/0  |  提交时间：2019/09/25 image segmentation  medical image processing  two-phase model  medical images  LBDE model  precise segmentation results  comparative models  local difference-based active contour model  medical image segmentation  bias correction  local bias field  difference estimation model  smooth orthogonal basis functions  clustering criterion function  measured image  local region  accurate segmentation results  level set evolution process   Local difference-based active contour model for medical image segmentation and bias correction 期刊论文  OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 10, 页码: 1755-1762 作者:  Niu, Yuefeng;  Cao, Jianzhong   |  收藏  |  浏览/下载：26/0  |  提交时间：2020/06/05 image segmentation  medical image processing  two-phase model  medical images  LBDE model  precise segmentation results  comparative models  local difference-based active contour model  medical image segmentation  bias correction  local bias field  difference estimation model  smooth orthogonal basis functions  clustering criterion function  measured image  local region  accurate segmentation results  level set evolution process   Image deformation based on contour using moving integral least squares 期刊论文  OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 1, 页码: 152-160 作者:  Yu, Chong;  Chen, Xi;  Yin, Lei;  Shu, Chang;  Zhao, Li   |  收藏  |  浏览/下载：87/0  |  提交时间：2019/07/12 deformation  least squares approximations  optimisation  image registration  splines (mathematics)  computational geometry  feature extraction  medical image processing  deformation function  effective image deformation methods  contour  image deformation method  Integral Least Squares optimisation  control contours  desired contours  intuitive deformations   Spatial distribution of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans in soil around a municipal solid waste incinerator 期刊论文  OAI收割 ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2013, 卷号: 35, 期号: 5, 页码: 605-611 作者:  Liu, Wenbin;  Li, Haifeng;  Tian, Zhenyu;  Xie, Huiting;  Li, Changliang 收藏  |  浏览/下载：27/0  |  提交时间：2015/12/31 Exponential function  Contour map  Ordinary kriging  Surrounding soil   Mean shift based gradient vector flow for image segmentation 期刊论文  OAI收割 computer vision and image understanding, 2013, 卷号: 117, 期号: 9, 页码: 1004-1016 作者:  Zhou, Huiyu;  Li, Xuelong;  Schaefer, Gerald;  Celebi, M. Emre;  Miller, Paul 收藏  |  浏览/下载：44/0  |  提交时间：2015/06/10 Image segmentation  Mean shift  Gradient vector flow  Contour  Energy function   Contour extracting with combination particle filtering and em algorithm (EI CONFERENCE) 会议论文  OAI收割 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：28/0  |  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.   Contour function theory for transport of charged particle beams 期刊论文  iSwitch采集 High energy physics & nuclear physics-english edition, 1995, 卷号: 19, 期号: 3, 页码: 319-323 作者:  Yu, QC 收藏  |  浏览/下载：26/0  |  提交时间：2019/04/23 Charged particle beam  Beam transport  Contour function