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师瑛杰

于 2020-06-20 发布 文件大小:13631KB
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下载积分: 1 下载次数: 1

代码说明:

  解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)

文件列表:

HIO1.png, 143650 , 2019-07-17
HIO2.png, 221470 , 2019-07-17
HIO3.png, 183150 , 2019-07-17
HIO_ER, 0 , 2019-07-17
HIO_ER\1.bmp, 287446 , 2019-05-20
HIO_ER\centerImg.m, 283 , 2017-04-05
HIO_ER\Constrain.m, 315 , 2017-04-05
HIO_ER\ER.m, 598 , 2019-01-15
HIO_ER\fftXcorr2.m, 622 , 2019-04-29
HIO_ER\HIO.m, 851 , 2019-03-06
HIO_ER\PhaseRetrieval.m, 1597 , 2019-07-17
HIO_ER\PhaseRetrieval为主函数.txt, 0 , 2019-07-17
ParticleSwarmOptimization-master, 0 , 2019-07-17
ParticleSwarmOptimization-master\.gitignore, 42 , 2016-03-20
ParticleSwarmOptimization-master\fftXcorr2.m, 622 , 2019-04-29
ParticleSwarmOptimization-master\GoldsteinPrice.m, 614 , 2016-03-20
ParticleSwarmOptimization-master\Himmelblau.m, 635 , 2016-03-20
ParticleSwarmOptimization-master\license.txt, 1082 , 2016-03-20
ParticleSwarmOptimization-master\makeStruct.m, 531 , 2016-03-20
ParticleSwarmOptimization-master\mergeOptions.m, 2383 , 2016-03-20
ParticleSwarmOptimization-master\plotBowl.m, 1723 , 2016-03-20
ParticleSwarmOptimization-master\plotGoldsteinPrice.m, 2814 , 2016-03-20
ParticleSwarmOptimization-master\plotHimmelblau.m, 3614 , 2016-03-20
ParticleSwarmOptimization-master\plotPsoHistory.m, 2087 , 2016-03-20
ParticleSwarmOptimization-master\plotStyblinskiTang.m, 2825 , 2016-03-20
ParticleSwarmOptimization-master\PSO.m, 14007 , 2019-07-17
ParticleSwarmOptimization-master\PSO_Image.png, 144306 , 2016-03-20
ParticleSwarmOptimization-master\README.md, 6066 , 2016-03-20
ParticleSwarmOptimization-master\StyblinskiTang.m, 460 , 2016-03-20
ParticleSwarmOptimization-master\StyblinskiTangNoise.m, 551 , 2016-03-20
ParticleSwarmOptimization-master\test.m, 832 , 2019-07-17
ParticleSwarmOptimization-master\TEST_PSO_1.m, 767 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_2.m, 937 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_3.m, 946 , 2019-06-24
ParticleSwarmOptimization-master\TEST_PSO_4.m, 821 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_5.m, 1028 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_6.m, 4011 , 2016-03-20
ParticleSwarmOptimization-master\TEST_PSO_7.m, 1088 , 2016-03-20
ParticleSwarmOptimization-master\测试目标, 0 , 2019-07-17
ParticleSwarmOptimization-master\测试目标\2.tiff, 2313746 , 2019-07-08
ParticleSwarmOptimization-master\测试目标\三孔原图.tiff, 2313746 , 2019-07-08
ParticleSwarmOptimization-master\测试目标\光斑大小.tiff, 2313746 , 2019-07-08
基于光学记忆效应的非侵入式散射成像方法研究_吴腾飞.caj, 12493083 , 2019-07-17
待测试的2个数据集.txt, 244 , 2019-07-17

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    最新图像轮廓透明度计算算法。 发表在今年的计算机视觉会议(latest image contours transparency calculation algorithm. Published in this year's Computer Vision Conference)
    2006-05-26 09:40:23下载
    积分:1
  • 师瑛杰
    解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)
    2020-06-20 01:00:02下载
    积分:1
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    对有雾的图像运用大气散射模型进行处理,通用的大四散射模型与图像的饱和度有一定关系,于是利用HSV模型中的饱和度H进行去雾处理(On a foggy image processing using atmospheric scattering model, saturation senior general scattering model have a certain relationship with the image, so the use of HSV model saturation H were treated to fog)
    2021-04-21 16:48:50下载
    积分:1
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    细菌觅食算法与粒子群优化算法相结合的程序,可以实现适应度函数的最值计算,有很好的参考价值。(Bacterial Foraging algorithm and particle swarm optimization combined program, you can achieve the best fitness function value, and have a good reference value.)
    2013-08-26 09:40:40下载
    积分:1
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    2014-04-23 22:45:42下载
    积分:1
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    积分:1
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    2021-03-29 16:09:10下载
    积分:1
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    使用python语言实现多张图像的拼接,并且处理拼接之后的裂缝和黑边。(Use python language to achieve splicing of multiple images, and deal with cracks and black edges after splicing.)
    2019-04-02 15:24:23下载
    积分:1
  • danmu
    说明:  基于opencv平台编写的单目相机标定程序,使用的张正友的方法,只要准备十二张单目相机拍摄的棋盘格的图片就可以标定出单目相机的焦距等参数,建立单目相机坐标系。可以用于机器视觉测量中,也可以用于双面相机标定的前一步,精度很高。(Based on the monocular camera calibration program compiled by the OpenCV platform, the method of Zhang Zhengyou is used to calibrate the focal length and other parameters of the monocular camera and establish a monocular camera coordinate system as long as 12 pieces of chessboard pictures taken by the monocular camera are prepared. It can be used in machine vision measurement, and it can also be used in the previous step of the calibration of the double-sided camera, with high precision.)
    2020-03-23 10:04:18下载
    积分:1
  • src
    说明:  ORB-SLAM 基本延续了 PTAM 的算法框架,但对框架中的大部分组件都做了改进, 归纳起来主要有 4 点: ORB-SLAM 选用了 ORB 特征, 基于 ORB 描述量的特征匹配和重定位, 都比 PTAM 具有更好的视角不变性。此外, 新增三维点的特征匹配效率更高, 因此能更及时地扩展场景。扩展场景及时与否决定了后续帧是否能稳定跟踪。ORBSLAM 加入了循环回路的检测和闭合机制, 以消除误差累积。系统采用与重定位相同的方法来检测回路(匹配回路两侧关键帧上的公共点), 通过方位图 (Pose Graph) 优化来闭合回路。PTAM 需要用户指定 2 帧来初始化系统, 2 帧间既要有足够的公共点, 又要有足够的平移量. 平移运动为这些公共点提供视差 (Parallax) , 只有足够的视差才能三角化出精确的三维位置。ORB-SLAM 通过检测视差来自动选择初始化的 2 帧。PTAM 扩展场景时也要求新加入的关键帧提供足够的视差, 导致场景往往难以扩展. ORB-SLAM 采用一种更鲁棒的关键帧和三维点的选择机制——先用宽松的判断条件尽可能及时地加入新的关键帧和三维点, 以保证后续帧的鲁棒跟踪; 再用严格的判断条件删除冗余的关键帧和不稳定的三维点,以保证 BA 的效率和精度。(Orb-slam basically continues the algorithm framework of PTAM, but most of the components in the framework have been improved, which mainly includes four points:)
    2020-06-11 23:43:54下载
    积分:1
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