搜索资源列表
texture-gabor.rar
- gabor提取纹理特征，k-means方法无监督聚类进行图像分割,extract texture feature, cluster by k-means
GA2
- 用遗传算法解决了图像分割问题，将图像中的像素按灰度值用域值M分为两类图像，一类为目标图像，另一类为背景图像，经过几十次迭代后有助于缩小检索范围-Using genetic algorithms to solve the image segmentation problem, the image pixel gray value according to the value of M is divided into two categories with the domain images, on
AP_Clustering
- AP聚类方法，是08年发表在“科学”上的聚类方法，本人从图像图像方面研究近十年，这是我所见过最好的聚类算法，本程序提供聚类演示，还把它用图像分割试验（matlab7.0环境调试）。-AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the bes
FCM(1)
- 这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
pc
- 利用相位一致性提取图像边缘，K-means聚类后区域生长进行图像分割，附参考论文。-Using phase coherence image edge extraction, K-means clustering image after region growing segmentation, attached reference paper.
kmeanssource
- kmeans程序，用以各种方面聚类分析，诸如入侵检测和图像等。-kmeans method，used in many fields， such as intrusion detection, imag segmentation and etc.
NcutClustering
- 谱聚类和SVM相结合的图像分割程序,这是用matlab编的谱聚类程序，该方法能有效的用于数据分类。-This is a matlab procedures for the spectral clustering.The method is effective for data classification.
kmeans-image-segmentation
- K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
kmeans
- 快速K均值聚类图像分割算法源代码，能很好的实现图像的分割处理-Fast K-means clustering algorithm for image segmentation source code, can achieve very good to deal with image segmentation
gist
- 使用gist对图像进行聚类，并选出iconic image-Gist of the images using clustering and select the iconic image
seed
- 一种图像分割算法—像素聚类区域成长法 此法从一个种子像素开始，通过如平均灰度、组织纹理及色彩等性质的判断，将具类似性质的像素纳入所考虑区域。-An image segmentation algorithm- clustering pixels regional growth law this method started from a seed pixel, through, such as average gray, organizations such as texture and co
meanks
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is to use k-means clustering algorithms partition a gray image.
julei
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
shipin
- 利用改进的ostu即最大类间方差方法进行视频图像二值化-Ostu that the use of improved Otsu method of video image binarization
growcut
- 对图形图像进行切割的算法，此算法还可以用与聚类-Graphic images of cutting algorithms, this algorithm can be used with clustering
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.
unsupervisedClassification
- 非监督分类程序，MATLAB环境，采用K均值算法，通过初始聚类中心逐次迭代而得到所要分类，并输出分类后的图像。-Non-supervised classification procedures, MATLAB environment, using K-means algorithm, the initial cluster center through successive iterations to be classified, and the output classification im
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像。-This application is the use of k-means clustering algorithm partitions a gray-scale image.
IRandvisbletuxiangpeizhun
- 针对可见光与红外图像的特点和难点，提出了可见光与红外图像配准与融合中的关键技术，即: 使用新型的基于一维最大类间方差和最大连通性测量的图像分割方法对源图像进行分割来更好地实行图像粗 配准 使用新型的特征点提取方法，特征点的匹配及误匹配的消除来更好地实行图像精配准 采用新型的基 于区域的树状小波活性测度计算来实现树状小波图像融合 利用自生成神经网络来实现模栩图像融合. -For visible light and infrared images of the characteris
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像-Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.