搜索资源列表
read_image.rar
- CohnKanada人脸表情库图像读取,经过预处理了的,含有类标,可用于无监督人脸表情识别,images inputing of CohnKanada database,including preprocessing and labels of 7 expressions. it is suitable for unsupervised facial expression recognition
cluster.rar
- 用matlab实现聚类算法,注意是层次聚类和未知类别聚类算法!,Clustering algorithm using matlab implementation, pay attention to are hierarchical clustering and unknown type of clustering algorithm!
FCM
- C均值模糊聚类,适用于图像分类,此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
LDA
- 线性判别分析(LDA)用于特征选择,可以对数据集或者图像提取有用特征,用于分类或者聚类等机器学习应用中-Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning
chazhi
- 基于差值法的图像变化检测。最大类间方差法确定阈值。matlab 编程-Difference method based on image change detection. Otsu method to determine the threshold. matlab programming
Cluster_MeanShift
- 采用meanshift算法实现图像聚类,函数用matlab实现-clustering using Mean-shift
Ncut
- 自己写的Normalized Cut图像分割,聚类程序,程序非常清晰,花了很长时间调试。-Normalize Cut
Perceptron
- 利用感知机的线性分类功能,实现2维平面的两类模式分类,matlab实现,并用图像显示-Perceptron using linear classification function, the realization of 2-D plane of the two types of pattern classification, matlab achieve, and image display
Wallpapers-based-on-mean-shift
- 本程序首先把图像由RGB空间转到HSI空间,然后利用彩色图像分割策略以及meanshift算法对图像进行分割最后加入边界合成。其中‘keyprogram.m’文件为主程序,‘meanshift.m’文件为调用函数,实现数据的聚类分割。-The program first the image from the RGB space to HSI space and then using color image segmentation strategy and meanshift image seg
OTSU
- 利用最大类间方差法(OTSU)求出对图像进行二值化处理的最佳阈值,从而进行图像二值化处理。 -Using the maximum between-class variance method (OTSU) obtained image binarization best treatment threshold, and thus image binarization treatment.
segmention-threshod
- 一些关于图像阈值确定的matlab程序,包括迭代阈值,最小类内方差,最大熵,和用matlab库函数对图像进行边缘检测。可运行-Number of image thresholding matlab identified procedures, including iterative threshold, the smallest category of variance, maximum entropy, and the use of matlab library function of the
otsu2
- 大津阈值分割法,也称最大类间方差法,利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统(即图像背景及目标)的信息量之间的差异。求出的交叉熵越大,则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
ImageEnhencementUsingIntensityTransformations
- 本实验要求使用强度变化方法对图像进行增强。图像增强的是要目标是处理图像,使其比原始图像更适用于特定应用,图像增强的方法分为两大类,空间域方法和频域方法,“空间域”一词是指图像平面本身,这类方法是以图像像素的直接处理。“频域”处理技术是以修改图像的傅里叶变换为基础的。本实验采用的对数变换和指数变换是对前一种方法的应用。-This experiment requires the use of intensity changes in methods of image enhancement. Ima
PatternRecongnition
- 图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
fenlei
- 将图像中的物体按圆形度分类,并以不同色彩的边界标示圆形、矩形、不规则的阔图形、狭长图形4类图斑-Images of objects according to a circular classification, and the borders of different colors marked round, rectangular, irregular width graphics, strip chart graph 4 spot
otsu
- 最大类间方差法,给出了详细的介绍,希望能对大家学习图像处理有帮助-Otsu law, gives a detailed introduction to all of us hope to be helpful to learn image processing
FuzzyClusteringToolbox
- 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法:Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型:程序可以在二维图像上绘制出聚类的结果 3. 验证:程序给每一个算法提供验证机制,每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separatio
MeanShift
- Meanshift的非监督聚类方法,主要用于图像处理和模式识别。-Meanshift non-supervised clustering method, mainly used in image processing and pattern recognition.
otsu
- 图像的otsu分界算法的实现,不是调用函数的,是底层实现-otsu partition