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基于轮廓的图像分割参数模型（snake）源码，适合想学图像处理并对图像分割感兴趣的TX-Image segementation based on contour mode:parameter model. it is good for those students who are interesting in image processing and image segementation
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This code and doucument describe the image segementation using active contore models [snake].
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利用mean shift实现图像分割和平滑-utilize the mean shift method to achieve image segementation and flatness.
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图像分割,基于马尔科夫估计mrf,编写工具vc-markov random field ,image segementation
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Hi
This mfile is source code for image segementation using active contour models [Snake]. It found the objects in imaages.
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K-mean image segementation Choose cluster centers and point-cluster allocations to minimize error
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MRI_Brain_Scan fuzzy cmain image segementation
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自己编写的图像分割小程序 效果还不错 使用的是matlab-image segementation matlab
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CV水平集模型实现对图像的分割，收敛快，收敛效果优于GAC 模型。-CV levelset model to realize image segementation
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主动轮廓编码，用于交流学习，对一些图像分割不准确的轮廓进行进一步寻找准确轮廓-just for article，we can use it to do much work about image segementation
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一个应用K-means方法进行的图像分割技术。-utilize the k-means method to achieve image segementation
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matlab code for image segementation
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基于轮廓的图像分割参数模型（snake）源码，适合想学图像处理并对图像分割感兴趣的-TX-Image segementation based on contour mode:parameter model. it is good for those students who are interesting in image processing and image segementation
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一、直方图均衡与直方图匹配
二、图像增强与图像分割
三、doc文档最后附有所有处理matlab源码-First, the histogram equalization and histogram matching two, three image enhancement and image segmentation, doc document with all the final processing matlab source
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基于联通区域的图像分割，特别针对树叶等上的害虫的轮廓提取，很有参考价值，分享-Image segementation based on Unicom area
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SLIC 超像素分割算法，分割速度快，效果好，使用c++实现，内含源码和相应的软件，只要一输入图像就能实现分割-SLIC super-pixel segmentation algorithm, split fast, good effect, use c++ achieve, containing the source code and the corresponding software, as long as the input image segmentation can be achie
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This the KMeans code of IR Image segementation-This is the KMeans code of IR Image segementation
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medical image segementation(This paper reviews several main microscopic cell image segmentation methods ideas and points out their advantages and disadvantages)
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用SLIC方法实现超像素分割，能够根据输入期望的超像素数量分割。(Superpixel Segementation by SLIC, you can segement the image by the number input.)
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