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	基于Harris和卡尔曼滤波的农业机器人田间稳像算法期刊论文 OAI收割农业机械学报, 2023, 卷号: 54 作者: 王杰; 经俊森; 陈正伟; 徐照胜; 王少平 \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2023/11/10 agricultural robot image stabilization algorithm Harris corner Kalman filtering 农业机器人稳像算法 Harris角点卡尔曼滤波
	Step-by-step pipeline processing approach for line segment detection 期刊论文 OAI收割 IET Image Processing, 2017, 卷号: 11, 期号: 6, 页码: 416-424 作者: Zheng, Tianjiang; Chang Z(常铮); Luo HB(罗海波); Ding QH(丁庆海); Shao CY(邵春艳) \| 收藏 \| 浏览/下载：37/0 \| 提交时间：2017/07/17 image segmentation affine transforms edge detection eigenvalues and eigenfunctions line segment detection step-by-step pipeline processing approach resistant to affine transformation and monotonic intensity change descriptor RATMIC descriptor Canny detector Harris corner detector regions of interest
	A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China 作者: He B. 收藏 \| 浏览/下载：21/0 \| 提交时间：2013/03/25 The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation gray noise and viewpoint change conditions has an ideal match results is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly experiments show that the two features exclusive then applied them to image registration for the first time. A set of actual images have shown this proposed method not only overcomes the complicated background gray uneven distribution problems but also pan and zoom the image has a good resistance. 2011 IEEE.
	Real-time matching algorithm of navigation image based on corner detection (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China 作者: Zhang T. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 In order to meet requirement of real-time and high accuracy in image matching aided navigation SSDA algorithm is used to match remote sensing image and template image coarsely a fast and effective algorithm of remote sensing image matching based on corner detection is put forward. With the combination of rough and fine match when the matching result is bigger than one to count absolute value sum of energy difference of characteristic point energy to realize fine match of remote sensing image and template image to locate the position of template image in remote sensing image accurately. Simulation experiment proves that the matching of a remote sensing image resolution of 10181530 and a template image resolution of 15090 can be fulfilled within 2.392 second wavelet transform is used to acquire low frequency component to realize image compression to decrease calculation work and increase matching speed. Harris corner detection algorithm is used to detect corner of remote sensing image and template image and energy of every corner is calculated the algorithm is robust and effective real time image navigation can be achieved. 2009 SPIE.