机构

• 长春光学精密机械与物... [3]
• 地理科学与资源研究所 [1]
• 遥感与数字地球研究所 [1]
• 自动化研究所 [1]
• 沈阳自动化研究所 [1]
• 合肥物质科学研究院 [1]
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采集方式

• OAI收割 [10]

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• 会议论文 [5]
• 期刊论文 [5]

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• 2020 [1]
• 2019 [1]
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浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 OS-LFFD: a light and fast face detector with Ommateum structure 期刊论文  OAI收割 MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 20 作者:  Xu, Dezhong;  Wu, Lifang;  He, Yonghao;  Zhao, Qing;  Jian, Meng   |  收藏  |  浏览/下载：59/0  |  提交时间：2020/08/21 Edge devices  Face detector  Effective receptive field  Ommateum block   Development of Titanium-Based Transition-Edge Single-Photon Detector 期刊论文  OAI收割 IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2019, 卷号: 29, 期号: 5, 页码: 5 作者:  Zhang, Wen   |  收藏  |  浏览/下载：114/0  |  提交时间：2019/05/20 Superconducting transition-edge sensor  single-photon detector  response time  quantum efficiency  optical cavity   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：45/0  |  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   Automatic chessboard corner detection method 期刊论文  OAI收割 IET IMAGE PROCESSING, 2016, 卷号: 10, 期号: 1, 页码: 16-23 作者:  Liu, Yu;  Liu, Shuping;  Cao, Yang;  Wang, Zengfu 收藏  |  浏览/下载：25/0  |  提交时间：2018/01/25 Cameras  Calibration  Edge Detection  Statistical Analysis  Automatic Chessboard Corner Detection Method  Chessboard Pattern-based Camera Calibration Technique  Hessian Corner Detector  Fake Corner Elimination  Sub-pixel Location  Statistical Approach  Computational Efficiency   Corner detection using Gabor filters 期刊论文  OAI收割 iet image processing, 2014, 卷号: 8, 期号: 11, 页码: 639-646 作者:  Zhang, Wei-Chuan;  Wang, Fu-Ping;  Zhu, Lei;  Zhou, Zuo-Feng 收藏  |  浏览/下载：54/0  |  提交时间：2015/03/19 edge detection  Gabor filters  grey systems  affine transforms  Gabor filter  contour-based corner detection  magnitude response  edge contour shape analysis  local curvature maxima points  planar curve  corresponding grey-variation information  Canny edge detector  normalised magnitude response  magnitude response threshold  angle threshold  detection accuracy  localisation accuracy  afflne transform  noise-robustness   Polarimetric SAR Speckle Filtering for High-resolution SAR Images using RADARSAT-2 POLSAR SLC data 会议论文  OAI收割 Proceedings of International Conference on Computer Vision in Remote Sensing, New York Liu, Xu-nan; Cheng, Bo 收藏  |  浏览/下载：14/0  |  提交时间：2014/12/07 high-resolution SAR  POLSAR speckle filtering  scattering model  CFAR  edge detector  REDUCTION  MODEL   Using the Canny edge detector and mathematical morphology operators to detect vegetation patches 会议论文  OAI收割 Proceedings of SPIE 作者:  Huang C. 收藏  |  浏览/下载：23/0  |  提交时间：2012/06/30 Canny edge detector  vegetation patch  mathematical morphology  operators  detect   The research of corner detector of teeth image based on the curvature scale space corner algorithm (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者:  Yang L.;  Wang X.;  Wang X.;  Wang X.;  Yang L. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 In order to detect the corners of the teeth image  secondly  thirdly  last  this method can detects the corners of the teeth image effectively  which were acquired by oral cavity endoscope  we segmented the image by the threshold based on the gray value of the image  we detected the edge of the teeth image by the Canny edge detector  we detected the corners by the adaptive threshold curvature scale corner detector. Through lots of experiments and we compare this method to other corner detector methods  which offers some available parameters for the 3D reconstruction of the teeth. 2010 IEEE.  in this paper  we used the CSS algorithm. In this method  firstly  we removed the noise of the image by the morphology open operation and median filtering   Directional multiscale edge detection using the contourlet transform (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States 作者:  Jin L.-X.;  Han S.-L.;  Zhang R.-F. 收藏  |  浏览/下载：43/0  |  提交时间：2013/03/25 Wavelet multiresolution analysis allows us to detect edges at different scales  also to obtain other important aspects of the extracted edges. However  due to the usual two-dimensional tensor product  wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities  and the extracted edges are not continuous. In order to solve that problem  we propose a new image edge detection method based on the contourlet transform. The directional multiresolution representation Contourlet takes advantages of the intrinsic geometrical structure of images  and is appropriate for the analysis of the image edges. Using the modulus maxima detection  an image edge detection method based on contourlet transform is proposed. To suppress the image noise effect on edge detection  the scale multiplication in contourlet domain is also proposed. Through real images experiments  the proposed edge detection method's performance for the extracted edges is analyzed and compared with other two edge detection methods. The experiment result proves that the proposed edge detection method improves over wavelet-based techniques and Canny detector  and also works well for noisy images. 2010 IEEE.   Image parallel processing based on GPU (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States 作者:  Wang J.-L.;  Wang J.-L. 收藏  |  浏览/下载：33/0  |  提交时间：2013/03/25 In order to solve the compute-intensive character of image processing  based on advantages of GPU parallel operation  parallel acceleration processing technique is proposed for image. First  efficient architecture of GPU is introduced that improves computational efficiency  comparing with CPU. Then  Sobel edge detector and homomorphic filtering  two representative image processing algorithms  are embedded into GPU to validate the technique. Finally  tested image data of different resolutions are used on CPU and GPU hardware platform to compare computational efficiency of GPU and CPU. Experimental results indicate that if data transfer time  between host memory and device memory  is taken into account  speed of the two algorithms implemented on GPU can be improved approximately 25 times and 49 times as fast as CPU  respectively  and GPU is practical for image processing. 2010 IEEE.