搜索资源列表
LDA_ORL
- 如何使用matlab读取ORL图像,400张人脸,每类10张,一共40个类.并用LDA进行降维-how to use matlab to read ORL face images,400 face images of 40 people, 10 images per person. Then use LDA to reduce dimensionality
OSTU_yuzhifenge
- 用matlab实现OSTU大津法算法,得到最大类间方差的阈值。对于图像处理的初学者可以更好的理解大津法的原理-The realization of OSTU with Matlab,which can get the maximum variance between clusters
Image-segmentation-based-on-Opencv
- OPENCV轻量级而且高效,由一系列 C 函数 和少量 C++ 类构成,同时提供了 Python、Ruby、MATLAB等语言的接口,实现了图像处理和计算机视觉方面的很多通用算法。-The OPENCV lightweight and efficient, and by a series of C function And a small amount of C++ class structure, while providing a language like Python, Ruby
kmltoolbox_v1.4
- 基于这个类的工具箱允许你创建在“Google地球”,许多不同的地块,由自动创建所需的基于XML的KML文件,而无需用户交互。 有了它,您可以创建: - 线图,散点图 - 二维和三维轮廓 - 2D和3D多边形 - 颤动地块 - 写在一个特定点的文本 - 将三维模型 - 覆盖图像 - 为图像传输更复杂的数字 - 文件夹,子文件夹,... 总相似图 - 动画三维模型到一个预定义的轨迹 安装到您的MATLAB路径工具箱,工具
fcm4
- 模糊聚类的图像分割,通过模糊c-均值(FCM)聚类实现图像的分割-Fuzzy clustering segmentation Image segmentation by fuzzy c-means (FCM) clustering.This is a very very very good file.matlab
yuzhi
- 用matlab求图像阈值分析程序,一种是直方图阈值法一种是最大类间方差-Using matlab and image threshold analysis program, a variance between a Histogram method is the largest class
3
- 利用matlab实现彩色图像的分割。算法主要是利用聚类算法-Use of matlab color image segmentation. Algorithm is the main clustering algorithm
fgt
- fgt软件包是关于快速高斯变换的matlab程序包,主要用来处理聚类问题,可以用在图像处理和人工智能,统计等应用领域-the fgt package fast Gaussian transform matlab program package is mainly used to deal with the problem of clustering can be used in applications of image processing and artificial intelligenc
Tliffting__97h
- 本程序源码实现任意偶数大小图像第二代双正交97提升小波变换注1: 使用标准正交方法,对行列使用不同矩阵(与matlab里不同)注2: 为了保证正交,全部边界处理,全部使用循环处理注3: 正交性验验证,将单位位阵带入函数,输出仍是单位阵(matlab不具有此性质)注4: 此程序源码是矩阵实现,所以图像水平分量与垂直分量估计被交换位置注5: 此程序源码实现的是类小波(wavelet 可直接使 -The program source code to achieve any even size im
k_means
- matlab中使用k-means聚类实现图像分割-using k-means clustering matlab image segmentation
Image-Segmentation-Technology
- 基于点的全局阈值法,即最大类间方差法,并基于Matlab软件环境进行算法的仿真。该系统能够对图像中某些感兴趣的部分进行提取,较好地实现了图像分割-Point-based global threshold method, the Otsu method, the simulation of the algorithm based on Matlab software environment. The system is able to extract some interesting part o
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
Kmeans_image
- 使用matlab编写的针对图像的k均值聚类程序-K-means clustering procedure using matlab for image!
Watershed
- 分水岭算法Matlab实现。如果图像中的目标物体是连在一起的,则分割起来会更困难,分水岭算法经常用于处理这类问题,通常会取得比较好的效果。-Matlab implementation of watershed algorithm.If the object in the image together, then split up and it will be more difficult, the watershed algorithm often used to deal with such
Texture_moasic
- 基于灰度共生矩阵和K均值聚类的纹理图像分割,MATLAB实现-texture image segmentation
transmit-graph
- 用MATLAB编写的图像处理类的源代码,可以轻松实现灰度的线性变换,同时只要稍加修改就可以实现更多的功能。希望对大家有帮助。-Written using MATLAB image processing source code, you can easily achieve grayscale linear transformation, more features can be achieved at the same time as long as the slightly modified.
imageproc
- 用matlab对图像进行五类基本运算,例如灰度直方图,邻域平均,局域增强,中值滤波-Image using matlab five types of basic operations, such as histogram, neighborhood average, local enhancements, median filtering
k-mediods
- 用于图像特征的K中心点聚类(k-mediods)的matlab实现。-k-mediods implements by matlab, used for cluster of image feature
FCM_clust
- 本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法,它的思想是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。- This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm b
I
- 基于MATLAB平台工作,对图像文件中的果实(类圆形果实)进行识别,通过图像灰度化,二值化,提取边缘,Hough变换等一系列步骤后,对果实图像进行特征提取以获取所需信息。通过对边缘的提取识别图像,便于机器识别。-Work based on MATLAB, the fruit image files (class round fruits) identify the image gray value, edge extraction, Hough transform a series of ste