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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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In this project ,we propose a color based segmentation method that uses the c means clustering technique to track tumor objects in magnetic resonance (MR) brain images. The key concept in this color based segmentation algorithm with k means means to
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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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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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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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一种基于直方图改进的FCM聚类水下图像分割算法 文献加matlab实现代码-Improved histogram based FCM clustering literature plus underwater image segmentation algorithm matlab code
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用MATLAB实现动态聚类或迭代自组织数据分析，计算时间和二维直方图,用于信号特征提取、信号消噪。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Computing time and two-dimensional histogram, For feature extraction, signal de-noising.
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利用最小二乘法进行拟合多元非线性方程，用MATLAB实现动态聚类或迭代自组织数据分析，计算时间和二维直方图。- Multivariate least squares fitting method of nonlinear equations, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Computing time and two-dimensional histogram.
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用MATLAB实现动态聚类或迭代自组织数据分析，能量谱分析计算,计算时间和二维直方图。- Using MATLAB dynamic clustering or iterative self-organizing data analysis, Energy spectrum analysis and calculation, Computing time and two-dimensional histogram.
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