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于 2021-01-08 发布

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代码说明：

说明： matlab 实现高光谱图像处理中omp算法(OMP algorithm in hyperspectral image processing based on MATLAB)

文件列表：

OMP, 0 , 2015-11-09
OMP\hw2.mat, 16248 , 2014-01-22
OMP\main.m, 314 , 2015-11-09
OMP\OMP.m, 2365 , 2015-11-09
OMP\WYMP.m, 1253 , 2015-11-09

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K-means代码
KMEANS代码段，用于图像分割，已配置完成(KMEANS,use to achieve image segmentation)

2019-05-30 10:16:59下载

积分：1
blurr
blur face in video ie hide face

2012-11-27 03:06:06下载

积分：1
SOQcode
彩色图像纹理和色彩特征提取，并用fcm进行分割(Color image texture and color feature extraction, and split with fcm)

2015-09-07 17:17:23下载

积分：1
deal
对一个图像进行红蓝立体画制作，使得呈现3D效果。(to make a picture viewed as 3D)

2021-01-13 15:48:49下载

积分：1
oksld
基于matlab的手势识别代码，有gui编写界面(Gesture recognition code based on matlab, GUI programming interface)

2018-11-27 21:46:29下载

积分：1
Research-of-FCM---based-on--swarm
本文是基于最新的模糊C均值彩色图像分割方法改进得来的新算法(This article is based on the fuzzy c-means clustering color image segmentation method of the latest paper)

2013-05-03 08:55:27下载

积分：1
circular-birght-target-detect
首先利用形态学开运算将图像中小于结构元素的亮点去掉，利用源图像与处理后的图像作差，对差图像进行阈值分割，得到二值图像，将二值图像中的一些干扰区域去掉，提取二值图像中的圆形区域，并在源图像上对小目标进行标记，实现对圆形亮目标的检测(Remove the area in the image smaller than structural element by morphologic open operation，receive image A，original image subtract image A，threshold segmentation for difference image，receive binary image，remove the interference region in the binary image，then extract circular area，and sign the target in the original image. Realize the circular bright target detection)

2014-01-10 12:46:01下载

积分：1
random forest
利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)

2019-02-28 10:13:01下载

积分：1
zt
说明：图像高斯滤波,再边缘检测中,首先要用到高斯滤波(images Gaussian filtering, edge detection again, the first use of the Gaussian filter! !)

2005-09-24 18:51:13下载

积分：1
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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