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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 Fault Detection and Isolation of Sensor in Markov Jump Systems based on Space Geometry Method 会议论文 35th Chinese Control Conference (CCC) - 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/23 Unobservability subspace  fault detectionand isolation (FDI)  Markov jump systems  space geometric approach  H-infinity optimization technique   Fault Detection and Isolation of Sensor in Time-Delay Systems Based on Space Geometry Method 会议论文 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA) - 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/23 unobservability subspace  fault detection and isolation(FIX)  time-delay system  space geometric approach  H-infinity  optimization technique   Fault Detection and Isolation of Sensor in Markov Jump Systems based on Space Geometry Method 会议论文 35th Chinese Control Conference (CCC), 2016-07-27 作者:  Hou Yandong[1];  Qiao Dianfeng[2];  Cheng Qianshuai[3];  Huang Ruirui[4] 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/23 Unobservability subspace  fault detectionand isolation (FDI)  Markov jump systems  space geometric approach  H-infinity optimization technique   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   The geometric distortions correction of uncooled large-sized relative aperture infrared imaging system (EI CONFERENCE) 会议论文 Infrared Components and their Applications, November 8, 2004 - November 11, 2004, Beijing, China Fan X.; Sun Q.; Lu Z. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 The geometric distortion of infrared image  which was created by the large-sized relative aperture optical system. It could be corrected by the digital image processing technology. The magnitude of distortion would be enlarged quickly with the enlargement of relative aperture. Though the distortion could not impact on the articulation of the image  it would affect geometric location precision of the image directly. In this paper  the distortion correction of uncooled large-sized relative aperture infrared imaging system was discussed and the mathematical model of distortion correction was established. A algorithm of digital image processing was presented and applied based on control points by combining polynomial warping and space variant linear image interpolation. The method of polynomial warping was used to establish the locality relationship between the original image and the distortion ones. The space-variant linear image interpolation provided an efficient way to rebuild the frame of images. The computational costs of the proposed approach are very little and the precision is almost as high as the method of bicubic interpolation when compared to those of state-of-the-art nonlinear interpolation operators.