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改进fcm分割算法，它是一种无监督分割方法，无需人的干预，分割过程完全是自动完成 它可以很好地处理噪声，部分体积影响和图像模糊。-Improve FCM segmentation algorithm, it is a kind of unsupervised segmentation method, without human intervention, process fully automatic segmentation complete It can be a very good de
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运用帧差序列图像进行背景建模与更新，采用背景差分和LBP纹理分析法进行运动车辆的分割及阴影消除。提出车辆形状投影量的概念，将视频车辆二维形状信息降至一维，并设计二维输入模糊分类器，根据形状投影量和车高，车长比，完成车型的多种类精细识别。-Frame difference image sequence background modeling and updating, background subtraction and the LBP texture analysis method for th
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机场检测中的模糊算法图像增强和基于ostu的阈值分割，用了opencv-Airport detection and fuzzy algorithm image enhancement and based threshold ostu segmentation, used the opencv
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直方图自适应模糊分割算法，基于图像直方图统计信息的模糊分割算法，算法简单，速度快-Histogram adaptive fuzzy segmentation algorithm, based on image histogram statistics of the fuzzy segmentation algorithm, algorithm is simple, fast
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Magnetic resonance (MR) images can be used to detect lesions in the brains of multiple sclerosis (MS)
patients and is essential for diagnosing the disease and monitoring its progression. An automatic method is
presented for segmentation of MS les
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This program illustrates the Fuzzy c-means segmentation of an image.
This program converts an input image into two segments using Fuzzy k-means
algorithm. The output is stored as fuzzysegmented.jpg in the current directory.
This program ca
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对图像进行处理，实现了直方图显示，边缘提取，模糊聚类分割等-The image processing, a histogram display, edge detection, segmentation fuzzy clustering
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用模糊增强的方法增加原图像的对比度，以便用于后续分类和分割-Fuzzy enhancement method of increasing the contrast of the original image, so that for subsequent classification and segmentation
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自己编写的matlab程序，实现了图像的模糊C均值分割，没有调用工具箱里的fcm函数，里面的图像，代码文件齐全，亲测可用-I have written the matlab program,did not call the toolbox FCM function to achieve the image of the fuzzy C mean segmentation. The code file is complete, can be debugged.
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基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fu
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that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of arter
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