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浏览/检索结果: 共5条，第1-5条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 基于特征编组的目标跟踪方法研究 学位论文 博士: 中国科学院沈阳自动化研究所, 2016 作者:  邵春艳 收藏  |  浏览/下载：31/0  |  提交时间：2016/12/25 目标跟踪  仿射不变特征提取  边缘提取  直线段提取  特征编组  仿射一致性  相似性度量   复杂曲面精密高效数控加工轨迹规划及插补方法 学位论文 博士, 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, 2015 作者:  周波 收藏  |  浏览/下载：229/0  |  提交时间：2015/12/25 轨迹规划  轨迹连接  高速加工  双螺旋轨迹  NURBS拟合   工业过程感知序列预处理及融合方法研究 学位论文 博士, 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, 2014 作者:  苏卫星 收藏  |  浏览/下载：78/0  |  提交时间：2015/08/20 时间序列  数据预处理  多源信息融合  异常检测  突变检测   高功率装置中的光束近场研究 学位论文 博士: 中国科学院上海光学精密机械研究所, 2010 作者:  李小燕 收藏  |  浏览/下载：11/0  |  提交时间：2016/11/28 小尺度自聚焦，近场，增益，测量，寄生反射，光束质量，空间分布   A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Han Q.-L.; Zhu M.; Yao Z.-J. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However  3. applying the standard Hough transform equation to every point of the input image edge  4. according to the local threshold  6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes  traditional Hough transform can only detect the lines  2. quantizing the parameter space  and extracting a group of maximums according to the global threshold  eliminating spurious peaks which are caused by the spreading effects  and will improve the precision of tracking.  cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations  Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information  as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately  5. fixing on the endpoints of the segments according to the dynamic clustering rule  which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image  parameter and line-segment spaces