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surf

于 2020-09-07 发布

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下载积分: 1 下载次数: 2

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代码说明：

说明：实现SURF图像匹配，并将图片进行扭曲处理再次实现匹配。(Surf image matching is realized, and the image is distorted to achieve matching again.)

文件列表：

SURF\example2.m, 1211 , 2014-06-04
SURF\example3.m, 1776 , 2014-06-04
SURF\license.txt, 1335 , 2014-06-04
SURF\OpenSurf.m, 3778 , 2014-06-04
SURF\SubFunctions\FastHessian_BuildDerivative.m, 603 , 2014-06-04
SURF\SubFunctions\FastHessian_buildResponseLayer.m, 1699 , 2014-06-04
SURF\SubFunctions\FastHessian_buildResponseMap.m, 1877 , 2014-06-04
SURF\SubFunctions\FastHessian_getIpoints.m, 2353 , 2014-06-04
SURF\SubFunctions\FastHessian_getLaplacian.m, 455 , 2014-06-04
SURF\SubFunctions\FastHessian_getResponse.m, 450 , 2014-06-04
SURF\SubFunctions\FastHessian_interpolateExtremum.m, 2478 , 2014-06-04
SURF\SubFunctions\FastHessian_isExtremum.m, 1680 , 2014-06-04
SURF\SubFunctions\FastHessian_ResponseLayer.m, 738 , 2014-06-04
SURF\SubFunctions\IntegralImage_BoxIntegral.m, 791 , 2014-06-04
SURF\SubFunctions\IntegralImage_HaarX.m, 494 , 2014-06-04
SURF\SubFunctions\IntegralImage_HaarY.m, 556 , 2014-06-04
SURF\SubFunctions\IntegralImage_IntegralImage.m, 796 , 2014-06-04
SURF\SubFunctions\PaintSURF.m, 1089 , 2014-06-04
SURF\SubFunctions\SurfDescriptor_DecribeInterestPoints.m, 1554 , 2014-06-04
SURF\SubFunctions\SurfDescriptor_GetDescriptor.m, 3636 , 2014-06-04
SURF\SubFunctions\SurfDescriptor_GetOrientation.m, 2921 , 2014-06-04
SURF\TestImages\lena1.png, 574557 , 2014-06-04
SURF\TestImages\lena2.png, 578897 , 2014-06-04
SURF\TestImages\test.png, 5296 , 2014-06-04
SURF\TestImages\testc1.png, 123228 , 2014-06-04
SURF\TestImages\testc2.png, 122063 , 2014-06-04
SURF\WarpFunctions\affine_warp.m, 9721 , 2014-06-04
SURF\SubFunctions, 0 , 2014-06-04
SURF\TestImages, 0 , 2014-06-04
SURF\WarpFunctions, 0 , 2014-06-04
SURF, 0 , 2014-06-04

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基于帧差法多目标跟踪Matlab代码
非常完整的帧差法多目标跟踪Matlab代码，并提供了完整的文档介绍，非常适合初学者学习。注：运行时要改一下文件路径，以及把视频文件转成图像序列输入。(Very complete frame difference method, multi-target tracking Matlab code, and provides a complete documentation, very suitable for beginners to learn. Note: at run time, you change the file path, and the video file is converted to an image sequence)

2017-08-31 10:13:00下载

积分：1
meanshiftSegment
基于MeanShift算法将图像进行平滑处理去噪并分割(MeanShift algorithm based on smoothing the image de-noising and segmentation)

2010-03-15 09:17:52下载

积分：1
生物特征识别技术手指静脉识别技术_余成波
说明：结合图像处理MATLAB的基本原理和知识，详细介绍了手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关内容。(Combined with the basic principle and knowledge of image processing, this paper introduces the finger vein pretreatment, image segmentation, vein vein segmentation, filtering and denoising, thinning and other related contents in detail.)

2020-06-20 07:20:01下载

积分：1
Rect_Insert
说明：针对输入180个波束数据，通过使用抛物线插值法进行插值，最终得到720个波束的数据，用于图像显示(For 180 beam data input, 720 beam data are obtained by parabola interpolation method for image display)

2020-03-25 14:30:59下载

积分：1
manual_v1.2.pdf
igmt one of geo-image software

2013-09-02 06:19:05下载

积分：1
canny
一种在二维、三维数据中利用Canny算子检测边缘的边缘检测器(A Canny edge detector for two-dimensional image and three-dimensional volume data.)

2021-04-22 15:28:48下载

积分：1
reconstruction_algorithms
本代码主要给出了激光粒度仪颗粒散射光强分布以及4种粒度反演算法，以及4种算法之间的比较。四种反演算法为：TSVD、Chaine、Tikhonov和l1正则化。(The code gives the Zetasizer particle scattering intensity distribution, and four kinds of particle inversion algorithm, as well as a comparison between the four algorithms. Four kinds of inversion algorithm is: TSVD, Chaine, Tikhonov and l1 regularization.)

2020-08-13 23:28:29下载

积分：1
compressed-sensing
压缩感知，稀疏表示采用小波基表示，压缩测量采用随机高斯矩阵，重构算法是omp重构(Compressed sensing, sparse representation using wavelet representation, compression measurements using random Gaussian matrix remodeling reconstruction algorithm is omp)

2013-10-17 12:51:03下载

积分：1
检测皮肤代码 face_detection1
检测皮肤代码。主要包括图像读入，大小变换，格式转换，图像滤波，颜色空间转换，皮肤模型，去除少像素连同区域以及膨胀作用(face detection based on skin model)

2020-06-27 10:00:02下载

积分：1
Wavelet_SL0
压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SL0算法，对256*256的lena图处理，比较原图和SL0算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SL0 algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SL0 algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

2020-09-10 15:08:00下载

积分：1

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