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Automated Segmentation of Left Ventricle Using Local and Global Intensity Based Active Contour and Dynamic Programming 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 673-688
作者:  G. Dharanibai;  Anupama Chandrasekharan;  Zachariah C. Alex
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Cardiovascular magnetic resonance  left ventricle  endocardium  epicardium  myocardium  segmentation  active contour  dynamic programming.  
An Overview of Contour Detection Approaches 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 6, 页码: 656-672
作者:  Xin-Yi Gong;  Hu Su;  De Xu;  Zheng-Tao Zhang;  Fei Shen;  Hua-Bin Yang
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Contour detection  contour salience  gestalt principle  contour grouping  active contour.  
A Selective Attention Guided Initiative Semantic Cognition Algorithm for Service Robot 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 5, 页码: 559-569
作者:  Huan-Zhao Chen;  Guo-Hui Tian;  Guo-Liang Liu
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Service robot  cognition computing  selective attention  semantic knowledge base  artificial neural network.  
Precision Work-piece Detection and Measurement Combining Top-down and Bottom-up Saliency 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 4, 页码: 417-430
作者:  Jia Sun;  Peng Wang;  Yong-Kang Luo;  Gao-Ming Hao;  Hong Qiao
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Work-pieces detection  salient region estimation  top-down and bottom-up saliency (TBS)  calibration  visual measurement.  
A Survey of Scene Understanding by Event Reasoning in Autonomous Driving 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 249-266
作者:  Jian-Ru Xue;  Jian-Wu Fang;  Pu Zhang
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Autonomous vehicle  scene understanding  event reasoning  intention prediction  scene representation.  
An Approach to Locating Delayed Activities in Software Processes 期刊论文
International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 1, 页码: 115-124
作者:  Yun-Zhi Jin;  Hua Zhou;  Hong-Ji Yang;  Si-Jing Zhang;  Ji-Dong Ge
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Locating of the delayed activities  software process  stochastic Petri-nets  Markov random fields  metrics.