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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     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 Simulation and Analysis of Spectral Response Function and Bandwidth of Spectrometer 期刊论文 International Journal of Aerospace Engineering, 2016 作者:  Gao, Z. Y.;  R. D. Jia;  H. Zhang;  Z. W. Xia and W. Fang 收藏  |  浏览/下载：9/0  |  提交时间：2017/09/11 基于计算光学的简单透镜成像技术 学位论文 硕士: 中国科学院大学, 2015 作者:  郝建坤 收藏  |  浏览/下载：106/0  |  提交时间：2016/04/11 计算光学  图像复原  简单透镜成像  空间变化PSF  去卷积   红外与可见光图像融合技术研究 学位论文 博士: 中国科学院大学, 2015 作者:  张蕾 收藏  |  浏览/下载：70/0  |  提交时间：2015/11/30 红外图像  可见光图像  图像融合  多尺度几何分析  结构相似度   Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China Wang X.; Li H.; Dong N. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.   Target track system design based on circular projection (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Song H.-J.; Zhu M.; Hu S.; Shen M.-L. 收藏  |  浏览/下载：14/0  |  提交时间：2013/03/25 Template matching is the process of searching the present and the location of a reference image or an object in a scene image. Template matching is a classical problem in a scene analysis: given a reference image of an object  decide whether that object exists in a scene image under analysis  and find its location if it does. The template matching process involves cross-correlating the template with the scene image and computing a measure of similarity between them to determine the displacement. The conventional matching method used the spatial cross-correlation process which is computationally expensive. Some algorithms are proposed for this speed problem  such as pyramid algorithm  but it still can't reach the real-time for bigger model image. Moreover  the cross-correlation algorithm can't be effective when the object in the image is rotated. Therefore  the conventional algorithms can't be used for practical purpose. In this paper  an algorithm for a rotation invariant template matching method based on different value circular projection target tracking algorithm is proposed. This algorithm projects the model image as circular and gets the radius and the sum of the same radius pixel value. The sum of the same radius pixel value is invariable for the same image and the any rotated angle image. Therefore  this algorithm has the rotation invariant property. In order to improve the matching speed and get the illumination invariance  the different value method is combined with circular projection algorithm. This method computes the different value between model image radius pixel sum and the scene image radius pixel sum so that it gets the matching result. The pyramid algorithm also is been applied in order to improve the matching speed. The high speed hardware system also is been design in order to meet the real time requirement of target tracking system. The results show that this system has the good rotate invariance and real-time property.   Research of automatic test technology of parameters used in a dual-CCD TV measure-system (EI CONFERENCE) 会议论文 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 2, 2005 - November 5, 2005, Zian, China Zhao J.; Wang L.; Li Y. 收藏  |  浏览/下载：11/0  |  提交时间：2013/03/25 This paper describes a kind of automatic test technology of the parameters used in a dual-CCD TV measure-system (TV -MS) .The TV -MS is the ground control equipment of the anti-tank missile and integrates the technologies of optical  machine and electronics. It is important and key component. The main technical parameters of the TV -MS are field of view  zero point  precision  sensitivity  anti-jamming ability  zooming time and focus time  etc. To insure the TV -MS satisfying the tactical and technical requirements and discover fault and reason  a fast and accurate equipment satisfying the test technical parameters of the TV -MS is urgently needed in manufacture and service. Firstly  the parameter test system converted optical signal to electronic signal  implemented automatic control of the invariant illumination of parallel pipeline output. Secondly  data and command delivering  displaying or printing are realized by using 80C196KB. The experiment result shows that the approach of automatic testing of the Parameters used in a dual-CCD TV -MS is successful and it can be used for all tests of the functions and parameters of the TV -MS. The main innovations are to realize the fast  veracious measure of technical parameters of the dual-CCD TV-MS  and integrate the technologies of optics  machineries and electronics. An advanced means is provided to judge the technical states  find malfunctions and discover the reasons in producing and maintaining process. The equipment suited for anti-tank missile systems is given.