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sift_registration_matlab

于 2020-08-09 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：基于sift特征提取的图像配准的几个案例(Several cases of image registration based on SIFT feature extraction)

文件列表：

sift_registration_matlab, 0 , 2020-06-13
sift_registration_matlab\Match.m, 860 , 2020-06-13
sift_registration_matlab\siftWin32.exe, 94208 , 2020-06-10
sift_registration_matlab\testdata, 0 , 2020-06-13
sift_registration_matlab\testdata\i1.jpg, 30976 , 2020-06-13
sift_registration_matlab\testdata\i2.jpg, 46041 , 2020-06-13
sift_registration_matlab\testdata\w1.jpg, 39977 , 2020-06-13
sift_registration_matlab\testdata\w2.jpg, 46026 , 2020-06-13
sift_registration_matlab\testdata\x1.jpg, 48199 , 2020-06-13
sift_registration_matlab\testdata\x2.jpg, 52605 , 2020-06-13
sift_registration_matlab\tmp.key, 127949 , 2020-06-13
sift_registration_matlab\tmp.pgm, 270015 , 2020-06-13
sift_registration_matlab\zoo_appendingImages.m, 457 , 2020-06-13
sift_registration_matlab\zoo_BidirectionalMatch.m, 882 , 2020-06-13
sift_registration_matlab\zoo_drawPoints.m, 203 , 2020-06-13
sift_registration_matlab\zoo_drawRotAglHist.m, 197 , 2020-06-13
sift_registration_matlab\zoo_getRotAgl.m, 104 , 2020-06-13
sift_registration_matlab\zoo_getTransMat.m, 1163 , 2020-06-13
sift_registration_matlab\zoo_imRegist.m, 1526 , 2020-06-13
sift_registration_matlab\zoo_linePoints.m, 480 , 2020-06-13
sift_registration_matlab\zoo_main.m, 729 , 2020-06-13
sift_registration_matlab\zoo_optIndex.m, 330 , 2020-06-13
sift_registration_matlab\zoo_sift.m, 1506 , 2020-06-13
sift_registration_matlab\zoo_x2gray.m, 138 , 2020-06-13
sift_registration_matlab\备注.txt, 159 , 2020-06-13

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danyuzhituxiangfenge
说明：利用遗传算法进行的单阈值的图像分割程序采用matlab编写(The use of genetic algorithm the single-threshold segmentation procedure prepared using matlab)

2008-09-16 12:07:24下载

积分：1
knnt
knn分类器，是数字图像处理与处理中经常使用到的一种分类方法！(KNN Classifier is the digital image processing and handling are often used as a classification method!)

2020-11-09 13:59:46下载

积分：1
ONEzj
说明：根据Itti视觉注意模型得到图像的显著区域。本算法简单并且对一般简单的图像能够提取出比较好的显著区域。(According to Itti visual attention model are significant regions in the image. The algorithm is simple and easy on the general good image to extract a significant area.)

2010-04-03 16:52:02下载

积分：1
LS
说明： matalb程序编写横向剪切干涉最小二乘法波前拟合。(matalb programming lateral shearing interferometry method of least squares wavefront fitting.)

2012-10-17 09:25:14下载

积分：1
pic
图像处理中最常用的各种国际标准测试图像，包括Lena、Barbara、Cameraman、Peppers等图片的多种格式。(The most commonly used in image processing in various international standard test images, including Lena, Barbara, Cameraman, Peppers, and other images in multiple formats.)

2012-06-11 16:41:08下载

积分：1
kmeans1
k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）(k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix))

2008-05-31 13:17:32下载

积分：1
evalution_copy
三个程序实现目标检测结果的评估，包括ROC曲线，AP值,Fmeasure的计算。(Three procedures are used to evaluate the results of target detection, including ROC curves, AP values, and Fmeasure calculations.)

2021-04-14 17:28:55下载

积分：1
VideoFrequencyTransformation
自编源码：读取 yuv 文件保存为Jpg图，实现视频文件的转化(Own-source: Read yuv files saved as Jpg map, realize the conversion of video files)

2007-10-18 15:05:32下载

积分：1
matlab
直方图均衡化的实现，RGB直方图均衡化，直方图归一化。(Histogram equalization to achieve, RGB histogram equalization, histogram normalization.)

2021-03-30 19:49:09下载

积分：1
CSR_Denoising
该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

2017-05-02 20:48:25下载

积分：1

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