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直方图模糊聚类算法，编译环境VC6.0，语言c,可以移植到到linux系统运行。算法功能图像分割-histogram fuzzy clustering algorithms, compiler environment VC6.0, language c, ported to Linux operating system. Functional image segmentation algorithm
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The Matlab functions and scr ipts in the MA toolbox are:
- ma_sone wav (PCM) to sone (specific loudness sensation)
- ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients)
- ma_sh sone to Spectrum Histogram
- ma_ph sone to
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自己编写的基于直方图的遗传聚类算法，用于图象分割。-prepared based on their genetic histogram clustering algorithm for image segmentation.
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基于直方图的遗传聚类算法，用于图象分割，功能相当强大。-Histogram-based genetic clustering algorithm for image segmentation, function quite powerful.
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对灰度图像进行多级阈值化处理的快速算法， 详尽的描述的快速算法的实现方法。-Pairs of gray-scale image processing multi-level threshold of the fast algorithm, a detailed descr iption of the fast algorithm are implemented.
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本程序实现了采用聚类法对图像进行分割，给出了图像分割前后的直方图，程序内有详细的程序说明和例图像-This program was realized using clustering method for image segmentation is presented, and the histogram image segmentation, procedure in detail program
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对电路板的图像进行分割，可以提取电路板中的目标物，以对电路板进行检测。文章使用K均值聚类算法完成对电路板图像的分割，针对传统的K均值聚类算法的不足，提出了使用直方图波形的有效波峰个数来确定K值的大小，并通过使用一种比传统的绝对误差的表示更简洁的表达式，达到了快速分割的目的。对一些电路板图像分割的实验结果表明，文章的方法能够根据目标物的数目有效的确定K值的大小，且比传统的K均值算法减少了运算量及计算时间。-On the circuit board image segmentation, to ex
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模式识别经典方法之一 K均值算法（KMeans）进行图像分割 有完善的图形界面 可以通过柱状图的形式动态展示聚类程序-One of the classical method of pattern recognition K means algorithm (KMeans) for image segmentation has improved graphical interface can be dynamically displayed in the form of histogram clu
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本程序可以实现图像k均值聚类在数据挖掘中的相关算法。计算出图像的直方图-This program can image k means clustering in data mining correlation algorithm. Calculate the histogram
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奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标
颜色分布的缺点，提出J，一种改进算法．该改进算法首先对目标的颜色进行聚类分析，根据聚类结果通过矩阵分解和正交变换
自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间．在此基础上定义 一种新的颜色模型，该模型统计落入每
一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布，并推导r一种相似性度量米比较目标和候选目
标的颜色模型之间的相似程度．最后基于该颜
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基于3维直方图的聚类分割,对初学matlab的同学非常有用的哈！-3-D histogram clustering based segmentation matlab beginner students of very useful Ha!
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此代码为基于二维直方图的模糊聚类图象分割方法-This code is a two-dimensional histogram-based fuzzy clustering image segmentation method
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运用C实现了数字图像的一些基本算法，包括canny edge detection,阈值变换，维纳滤波，直方图均衡，图像细化，旋转，图像配准，图像分割kmeans, isodata, fuzzy c means, fuzzy clustering, mrf image seg, 图像浏览，road svm using matlab, snakes matlab, anistropic gaussian filter-Canny edge detection, threshold transform
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comparehist是用于检测两个图像的直方图巴士距离，xuefu是通过C类均值算法对图像进行颜色聚类，ccv是提取衣服图像的颜色一致向量，便于以后对图像各个特征值进行操作-comparehist is used to detect the two image histogram bus distance, xuefu Class C means algorithm for image color clustering, ccv extract clothes image consistent
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结合领域差值法和领域比值法结构构造差异图，然后利用直方图谱聚类方法结合k-means进行变化检测-Difference method combined with field difference ratio method and the field structure diagram, and then using the method of spectral clustering histogram combined with k- means for change detection
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简单的K均值聚类法，本文中选用了5个聚类中心点，具体的聚类中心个数可以参考灰度直方图来选取-Simple K-means clustering method, this paper has selected five cluster center, the specific number of cluster centers can refer to the histogram to select
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经典迭代直方图分离聚类算法，该聚类算法基于图像直方图，非常适合于多类目标分割，计算速度非常快-Classical iterative separation histogram clustering algorithm, the clustering algorithm based on image histogram, very suitable for many types of object segmentation, calculation of very fast
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计算时间和二维直方图,基于欧几里得距离的聚类分析，信号维数的估计。- Computing time and two-dimensional histogram, Clustering analysis based on Euclidean distance, Signal dimension estimates.
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Clustering Hierarchical
Histogram
Parzen Window
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Automation of tumor detection is required because there might be a shortage of skilled
radiologists at a time of great need. We propose an automatic brain tumor detection and localization
framework that can detect and localize brain tumor in magn
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