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用matlab实现的医学图像分割算法，（分割最佳阈值的迭代算法）代码， 可适合初学者使用，并有图。-Using matlab to achieve the medical image segmentation algorithm, (partition optimal threshold of iterative algorithm) code which may be suitable for beginners to use, and map.
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OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE
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迭代法求最佳阈值
图像为baboon.bmp
分别对R,G,B三个颜色求阈值，进行分割-Iterative method for the optimal threshold image baboon.bmp respectively R, G, B three colors for the threshold segmentation
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图像阈值分割，为确定图像分割的最佳阈值，基于粒子群优化算法提出了一种多阈值图像分割方法-Image segmentation, image segmentation to determine the optimal threshold value, based on particle swarm optimization algorithm proposes a multi-threshold image segmentation
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迭代求图像最佳分割阈值的算法 迭代求图像最佳分割阈值的算法-Iterative threshold image segmentation algorithm for optimal Iterative threshold image segmentation algorithm for optimal
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给出k=1,2,3,4的OFDM系统使用改进的次优化算法时的PAPR性能。仿真参数：子载波数为64，QPSK调制，r=3，V=4，P=4，取 ，分割方法为交织分割，仿真的OFDM符号数为1000个。-Gives k = 1,2,3,4 of the OFDM system uses an improved PAPR when the sub-optimal algorithm performance. Simulation parameters: number of subcarriers 64
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给出了r=1，2，3，4的OFDM系统使用改进的次优化算法时的PAPR性能。仿真参数：子载波数为64，QPSK调制，V=4，P=4，取 ，分割方法为交织分割，仿真的OFDM符号数为1000个，迭代次数k=1。-Gives r = 1,2,3,4 of the OFDM system uses an improved algorithm for sub-optimal performance when the PAPR. Simulation parameters: number of subca
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最优信息法，有序样品聚类——最优分割，采用多种分割方法
-Optimal information method, ordinal clustering- the best split, using a variety of segmentation methods
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基于Fisher的最优分割法的Matlab程序-Fisher optimal segmentation of the Matlab program
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最优分割的基本思路是给定一个数据序列和分层数，通过搜索所有可能的划分方案，找到段内离差平方和的总和最小的一种方案作为最终划分方案。这里给出最优分割法的Matlab源程序-The basic idea is optimal partition for a given data sequence and hierarchical number divided by searching all possible solutions to find the segment and the sum of
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基于MATLAB的车牌识别的设计算法，实现的有车牌定位，车牌字符分割和识别等算法。- In this thesis，the main contents include: First, copes with positioning process of the captured vehicle license plate and then preprocess the positioned license plate Second, based on comparison of gray l
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this code for VANET protocol, we used matlab to achieve four contribution
Novel reliable broadcast protocol that is especially designed for optimal performance of public-safe related application, choosing the nearest following node as the network p
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基于WFCM的最优阈值图像分割 阈值化是图像分割中广泛应用的一种有效工具。基于类别可分性准则的Otsu法是性能良好且受到普遍欢迎的自动阈值选择方法。Otsu方法与c均值聚类算法的准则在一定条件下是等价的，而c均值聚类算法还可以快速实现分割问题。目前人们提出了很多基于c均值聚类准则的图像阈值化方法，其中模糊c均值（FCM）是最流行的算法之一。但是FCM算法没有考虑样本矢量间对聚类效果的不同影响，因而使用加权模糊c均值（WFCM）来解决这个问题。-Optimal threshold image se
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Upon graduation design written MATLAB program to achieve the iXigUy image feature extraction, and do feature different light, different perspectives match under optimal JGPxzKQ difference calculation method, there are application programming source c
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Upon graduation design written MATLAB program to achieve the srpgeB image feature extraction, and do feature different light, different perspectives match under optimal wTmANxo difference calculation method, there are application programming source c
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A simple algorithm for Erythrocyte (RBC) segmentation peripheral blood smear images.
Function takes the green component of RGB image as input.
article:
M. Jahanifar et al., Automatic Zone Identification in Blood Smear Images Using Optimal Se
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基于fisher最优分割方法，通过matlab软件实现。(Based on the Fisher optimal segmentation method, it is implemented by MATLAB software.)
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fisher最优分类法，有序样品分割，matlab程序(fisher optimal segmentation matlab)
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