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regular_omp
说明： 压缩感知的一个恢复算法，规则化正交匹配追踪(A recovery algorithm for compressed sensing, rules-based orthogonal matching pursuit)
- 2010-04-29 15:05:12下载
- 积分：1
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MTRD
机载SAR的动目标成像算法，动目标RD算法(Airborne SAR Imaging of Moving Target, Moving Target RD algorithm)
- 2020-10-23 15:07:23下载
- 积分：1
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3.30-4.3-bianyuan
基于霍夫变换的直线检测，效果非常好，图片自己找，可能需要对图片格式做操作。(Line Detection Based on Hough Transform)
- 2018-04-19 17:49:08下载
- 积分：1
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image
图像算法开放库，对图像处理的，希望对学习者有所帮助！(Image algorithm open library of image processing, and they hope to help learners!)
- 2007-11-02 08:32:29下载
- 积分：1
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face
人脸识别matlab源代码，应用主分量分析（PCA）实现了人脸识别。(Face recognition matlab source code, application of principal component analysis (PCA) to achieve a face recognition.)
- 2010-02-28 00:45:22下载
- 积分：1
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software
用于压缩感知图像处理的matlab代码 包括CoSaMP，GBP，IHT，OMP，BP，SP等算法的代码(matlab codes for image processing applied for compressed sensing，codes including CoSaMP，GBP，OMP，BP，IHT，SP )
- 2013-01-18 09:57:39下载
- 积分：1
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sift
SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))
- 2019-07-08 09:34:31下载
- 积分：1
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main
基于灰度图像处理的LSB密写的实现算法，matlab编程实现(Based on gray-scale image processing of LSB Steganography algorithm, matlab Programming)
- 2008-04-09 08:59:27下载
- 积分：1
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ICP-point-cloud-registration
三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准
效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好
的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除
错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。
(Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)
- 2016-08-01 10:34:57下载
- 积分：1
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Bregman
把分裂Bregman方法运用到图像处理中，发现这种方法比以前去模糊方法要好很多。(To split Bregman method applied to image processing, and found that this method defuzzification method is much better than before.)
- 2013-03-31 22:42:24下载
- 积分：1
