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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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又一种模糊C均值聚类的图象分割算法的MATLAB实现-Another fuzzy C-means clustering image segmentation algorithm in MATLAB to achieve
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fuzzy c means algorithm for image segmentation
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利用模糊C聚类(FCM)的方法对彩色图像进行分割,期中可以用不通的特征向量来表征图像的特征-Using Fuzzy C-clustering (FCM) method for color image segmentation, mid-term feature vectors can be used unreasonable to characterize the image
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模糊聚类的图像分割,通过模糊c-均值(FCM)聚类实现图像的分割-Fuzzy clustering segmentation
Image segmentation by fuzzy c-means (FCM) clustering.This is a very very very good file.matlab
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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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通过模糊c-均值(FCM)聚类实现图像的分割-Image segmentation by fuzzy c-means (FCM) clustering
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一个新的图像识别和解释系统模糊的图像,本文提出。一些重要的规则复杂的时刻提出了模糊的形象和校对。该系统是由区域分割、图像识别和图像解释过程。作为预处理的区域分割过程中,一个输入图像分为一些适当的地区使用基于attention-driven技术方法。 模糊推理神经网络是受雇于上述两幅图像识别和这个解释过程。下图表的模糊效果给出了。实验表明,提出的系统可以被成功地用于识别模糊化的图像。- A new image recognition and interpretation system for
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基于二维直方图的最大模糊熵阈值图像分割,相比于一维最大模糊熵,分割效果更好。隶属度函数采用S函数-Based on two-dimensional histogram maximum fuzzy entropy threshold image segmentation, compared to one-dimensional maximum fuzzy entropy segmentation better
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基于模糊粗糙集的二维直方图阈值图像分割方法,隶属度函数采用S函数-Membership function based on fuzzy rough set of two-dimensional histogram threshold image segmentation method, using the S function
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基于模糊粗糙集的图像阈值分割,隶属度函数选取高斯函数,效果好,计算快-Digital Image Segmentation Used Rough and Fuzzy Set
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利用模糊C均值图像分割,并显示分割后的图像-Fuzzy C-means image segmentation, and display the image after the split
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对《Fuzzy c-means clustering with weighted image patch for image segmentation》这篇文章进行了实现,运行速度在一分钟之内,希望对研究模糊c均值及其拓展算法的人有所帮助。运行testWIPFCM.m即可,注意改掉文件路径-On " Fuzzy c-means clustering with weighted image patch for image segmentation" This article wa
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模糊C均值聚类(FCM)算法的实现Matlab源码(其中命名为fcm.m的文件为一个完整的应用函数,其余几个文件为分割开使用的单独的函数)适合于研究图像分割算法的同仁们借鉴。-Fuzzy C-means clustering (FCM) algorithm Matlab source code (which is named fcm.m file a complete application functions, the rest is split open several files usin
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基于局部模糊C均值聚类算法的图像分割的Matlab源代码-Image segmentation based on local fuzzy C-means clustering algorithm
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图像模糊聚类分割算法,一个文件包,希望能有所帮助。-Fuzzy clustering image segmentation algorithm, a package, hoping to be helpful.
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数字图像处理程序/车牌识别系统
傅里叶变换(图像锐化、平滑、反色、反转)
图像增强(线性变换、模糊)
图像恢复
图像分析(二值化,灰度直方图)
车牌(定位、匹配、分割。。。。)-Digital image processing program license plate recognition system, including Fourier transform (image sharpening, smoothing, anti-color, reverse) ima
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用于图像分割,基于fcm算法的图像分割,实现模糊均值聚类的分割,更准却的实现分割。-For image segmentation, image segmentation based on FCM algorithm, the realization of fuzzy clustering segmentation, more accurate but to achieve segmentation.
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we present an improved fuzzy
C-means (FCM) algorithm for image segmentation by introducing
a tradeoff weighted fuzzy factor and a kernel metric. The
tradeoff weighted fuzzy factor depends on the space distance of
all neighboring pixels and th
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【matlab编程代做】使用两个图像输入模糊C+-均值图像分割 可以做为参考使用学习-[Do] matlab program generation using two image input fuzzy C+- mean value can be used as a reference image segmentation using learning
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