搜索资源列表
cluster
- 聚类问题的matlab程序,聚类问题在图像处理中有着广泛的应用
K-均值聚类算法
- K-均值聚类算法，对数据进行聚类分析，可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
cluster.rar
- 用高斯混合模型进行数据聚类分析的matlab 程序。,Set of files for analysis of Gaussian mixture models for data set clustering etc.
mean.shift.matlab
- 利用mean shift实现图像分割和平滑-utilize the mean shift method to achieve image segementation and flatness.
pr_zuidazuixiao
- 模式识别，聚类分析的最大最小距离算法算法Matlab演示-Pattern recognition, cluster analysis algorithm for the maximum minimum distance algorithm Matlab demo
leipingjun
- Matlab,利用类平均聚类方法识别各种图像（主要是遥感图像）中不同地物的GUI程序，距离的计算可以选择三个不同的函数，包裹中包含一个主程序，一个fig文件和三个距离函数。-This GUI project can divide deferent ground objects with the method of group-average cluster.
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
image
- 基于matlab语言程序，通过聚类分析对数码图像进行处理。-Matlab-based language program, through cluster analysis of digital images for processing.
iminerpolation
- 一种新的图像插值算法，此算法不需要先验信息，主要包括聚类分析，模式识别，图像插值三个阶段-A new image interpolation algorithm, the algorithm does not require a priori information, including cluster analysis, pattern recognition, image interpolation in three stages
HillClimbingSegment.1.0
- 程序实现Matlab下爬山法(hill-climbing)方法，用于彩色图像分割。-mage is first converted to CIE lab color space and the 3d color histogram is generated. Hill-climbing algorithm is used to find the local maximums in lab histogram, which is used to automatically decide the c
colorimagek_means
- 自己根据K-MEANS思想在MATLAB下实现的彩色图像分割算法程序，用最普通的语句实现，通俗易懂。可以直接用于对彩色细胞图像的分割，分割结果比较准确，-K-MEANS in accordance with their own ideas in MATLAB to achieve color image segmentation algorithm based on the procedures used to achieve the most common statement, user-fr
PRmatlabprogram
- matlab聚类，应用平均值法求新的聚类中心-matlab clustering, the application of the cluster center average method novelty
iriscode
- Matlab提供了两种方法进行聚类分析。 一种是利用 clusterdata函数对样本数据进行一次聚类，其缺点为可供用户选择的面较窄，不能更改距离的计算方法； 另一种是分步聚类：（1）找到数据集合中变量两两之间的相似性和非相似性，用pdist函数计算变量之间的距离；（2）用 linkage函数定义变量之间的连接；（3）用 cophenetic函数评价聚类信息；（4）用cluster函数创建聚类。 -Matlab provides two methods of cluster anal
color-snake
- 利用彩色蛇模型对彩色图像进行处理，即不将彩色图像分为Ｒ，Ｇ，Ｂ三个分量，而是将彩色图像视为单一簇的处理，反而会得到更好的边缘清晰度-The use of color snake model for color image processing, that is, not the color image into R, G, B three-component, but rather as a single cluster of color image processing, it will ge
waveletSeg
- use wavelet analysis to denoise the 4d image and use kmeans to cluster the image
kmeans
- 一种改进的均值聚类算法，能很好的利用与图像分割技术-k-means cluster
mean_shift_cluster
- mean shift cluster計算以及使用方法-mean shift cluster computing, and to use
segmen
- This function is used to segment a color image in RGB format. Number of cluster must be include and approximately by user.
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现，模糊C均值聚类是一种利用模糊数学做的聚类方法，属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar