搜索资源列表
73462683ClusterImageSeg
- 模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
ResearchonVideoCaptionDetectionandExtraction
- Research on Video Caption Detection and Extraction. The automatic video annotation is a key module of the video indexing and retrieval system,and the extraction and location of captions are important steps for video annotation.An automatic extraction
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- 模糊C均值聚类的MATLAB程序,有详细中文注释,对初学者很有帮助。-Fuzzy C-means clustering of the MATLAB program, a detailed English notes, very helpful for beginners.
fcm_color
- 模糊c均值聚类算法对遥感图像分类,可自己进行修改-Fuzzy c means clustering algorithm for remote sensing image classification can be modify their
Cluster
- 一个用VC编写的聚类案例,可以实现C聚类、模糊聚类和应用遗传算法对样品进行聚类分析 -Written in a cluster with VC cases, can be achieved C clustering, fuzzy clustering and genetic algorithm for cluster analysis of samples
Handwritten_numeral_recognition
- 手写数字识别,分为分类程序(模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器)和聚类程序(模糊聚类、遗传算法)-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
fcmGUI
- 用Matlab写的FCM算法,包括GUI界面的设计,实现模糊聚类功能。-FCM algorithm is written using Matlab, including the GUI interface design, implementation, fuzzy clustering functionality.
sfcm
- 加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
julei
- 内包含:模糊聚类 遗传算法聚类 层次聚类法的各方法以及动态聚类的各个算法 -Contains: Fuzzy clustering genetic algorithm clustering hierarchical clustering and dynamic clustering of various methods of the various algorithms
muhujuleituxiangfenge
- 算法目的:通过模糊c-均值(FCM)聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
tuxiangfenggeyutezhengtiqu
- 图像特征提取的总结,用MATLAB模糊聚类算法进行图像分割,阀值分割及特征提取的资料和作业。-Summary of the image feature extraction, fuzzy clustering algorithm using MATLAB for image segmentation, threshold segmentation and feature extraction of data and operations.
imagefusion
- 提出了一种基于多通道 Gabo r滤波器和 FCM聚类的图像融合新方法。该方法先利用模糊 C2均值聚类算法在多通道 Gabo r滤波器形成的特征空间上对图像进行区域分割 再对待融合图像进行多尺度小波分解 在此基础上利用 Gabo r滤波器提取高频段纹理特征构造区域相似度 ,应用区域相似度及信息量构造加权因子 ,从而得到融合图像的小波系数 最后 ,利用小波逆变换得到融合图像.-Proposed a multi-channel Gabo r filter and FCM clustering f
Fuzzy-processing
- 聚类分析是多元统计分析的一种,也是无监督模式识别的一个重要分支,在模式分类 图像处理和模糊规则处理等众多领域中获得最广泛的应用。它把一个没有类别标记的样本按照某种准则划分为若干子集,使相似的样本尽可能归于一类,而把不相似的样本划分到不同的类中。硬聚类把每个待识别的对象严格的划分某类中,具有非此即彼的性质,而模糊聚类建立了样本对类别的不确定描述,更能客观的反应客观世界,从而成为聚类分析的主流。-Clustering analysis is a kind of multivariate statis
fcm
- 模糊C均值聚类,通过设置不同的灰度,可将彩色图像分成若干区域,达到分类的目的。-Fuzzy C means clustering, by setting different grayscale, color images can be divided into several regions, to achieve the purpose of classification.
FCM-vs-ESSC
- 模糊聚类图像分割,还包括spectral clustering及其改进版(按照pr2010某paper)-image segmentation using fuzzy c means & spectral clustering
fuzzy-c-line-image
- 基于模糊c聚类经行图像分割,有区别于常态的canny等算子,值得研究-Based on fuzzy c-line image segmentation by clustering, there are so different from the normal of the canny operator, to be studied
Fuzzy-clustering-change-detection
- 基于模糊聚类的遥感图像变化检测算法,英文文献,里面弄有详细设计-Remote sensing images based on fuzzy clustering of change detection algorithms, English literature, which get a detailed design
test_FLICM
- FLICM一种基于模糊局部信息C均值聚类方法,是对传统FCM聚类方法的最近改进方法,具有更强的鲁棒性,效果明显优于传统算法。-A novel and robust FCM framework for image clustering called Fuzzy Local Information C-means (FLICM) clustering algorithm.
fuzzy-c-with-adaptive-parameters
- 采用模糊聚类方法对图像进行分割,可以自行设置参数,进行隶属度划分。-Using fuzzy clustering method for image segmentation, can set parameters, membership division
Fuzzy-clustering-image-segmentation
- 模糊聚类的图像分割 C-均值聚类 FCM-Fuzzy clustering image segmentation