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模糊c均值聚类方法,可以很方便的分割图像。-Fuzzy c-means clustering method, can be very convenient segmentation image.
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代码实现图像分析,包括阈值分割、投影检测、差影检测、模糊匹配。-Code image analysis, including segmentation, projection detection, subtraction detection, fuzzy matching.
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此代码为模糊C均值聚类的图象分割算法的MATLAB实现-This code is the image of the fuzzy C-means clustering segmentation algorithm in MATLAB
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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-[Do] matlab program generation using two image input fuzzy C+- Mean image segmentation
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在opencv环境下使用fuzzy c means和kmeans算法实现图片像素RGB值聚类,希望对大家有帮助-using fuzzy c means and k-means algorithm to realize the RGB image segmentation in opencv.
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模糊聚类的图像分割,使用模糊聚类,里面有例子,这类代码不太多。-Fuzzy clustering image segmentation
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这是研究生论文,介绍使用模糊聚类进行图像分割。-This is a postgraduate master s thesis focuses on fuzzy clustering algorithm for image segmentation.
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课程的目的学习了解BMP的图像的结构,学会对BMP图像进行各种处理,图像平滑是指用于突出图像的宽大区域、低频成分、主干部分或抑制图像噪声和干扰高频成分,使图像亮度平缓渐变,减小突变梯度,改善图像质量的图像处理方法。数字图像处理中图像锐化同样是一个重要的部分,其目的有两个:一是使灰度反差增强,增强图像的边缘,使模糊的图像变得清晰起来;这种模糊不是由于错误操作,就是特殊图像获取方法的固有影响。二是提取目标物体的边界,对图像进行分割,便于目标区域的识别等。通过图像的锐化,使得图像的质量有所改变,产生更
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多种图像分割方法比较,包括roberts,sobel,prewitt,canny,log,fuzzy等多种经典方式,对同一张图像的处理的不同效果比较,根据需要选择不同的处理算子-Comparison of a variety of image segmentation, including roberts, sobel, prewitt, canny, log, fuzzy, and other classic method of image processing with a comparis
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模糊核聚类图像分割,有很好的实例和码源,值得大家学习。-Fuzzy kernel clustering image segmentation, a very good examples and source code, worth learning.
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模糊聚类图像分割,是图像处理方面的,对于图像初学者很有帮助。-Fuzzy clustering, image segmentation is image processing, image for beginners helpful.
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对细胞图像进行纹理分割,含有分割后的效果图。-Cells image texture segmentation, containing renderings divided.
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模糊聚类程序,可以很好地用于无噪图像的图像分割。-Fuzzy clustering procedure can be well used for noiseless image segmentation.
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模糊C均值聚类的图像分割算法,基于标准的模糊C均值聚类的图像分割算法,可以手动调整要分类的类别,最后输入分类好的图像-Image segmentation method based on standard fuzzy C mean clustering
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基于自适应迷糊C-聚类的图像分割 有一些瑕疵,自适应部分的代码可能有以下问题-Adaptive image segmentation based on fuzzy clustering C- have some flaws, the adaptive part of the code may have the following questions
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这个程序实现的是模糊C均值图像分割。里面包含源程序和一幅图像。运行后可以看到分割效果。-The program implementation is the fuzzy C-means image segmentation. Which contains the source code and image. We can see the effect after the split operation.
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利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
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基于模糊C-均值聚类算法的图像分割,消除二值分割的非此即彼的缺陷(Image segmentation based on fuzzy C- means clustering algorithm eliminates the defects of two value segmentation.)
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实现模糊聚类算法(FCM)与马尔科夫随机场空间约束(MRF)的图像分割、SAR图像变化检测(Fuzzy Cluster Method and Markov Random Field for Image Segmentation or SAR Change Detection)
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结合模糊C均值聚类算法与水平集方法的图像分割代码,分割效果良好。(The image segmentation code based on fuzzy c-means clustering algorithm and level set method has a good segmentation effect.)
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