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SSIM 近些年来被广泛用于衡量图象的质量,它克服了PSNR固有的一些局限性.目前网络上的SSIM相关的实现代码主要是MATLAB或者使用OPENCV库的代码.本代码完全采用C语言实现,接口简单,便于嵌入到用户代码中评估生成的图象质量-Using pure C language, this code implement the SSIM algorithm presented in the paper "Image Quality Assessment: From Error Visibilit
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Matlab下的实时跟踪程序，内附demo程序，也可以选择手动选择跟踪区域，这种方式需要将demo中的一段代码前的注释去掉-Main file: Tracking_PLS.m
You can set the initial position of the target object with know parameters or select the target region manually in the first frame.
You can tune the \Si
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is Matlab code implements a new level set formulation, called distance regularized level set evolution (DRLSE), proposed by Chunming Li et al s in the paper "Distance Regularized Level Set Evolution and its Application to Image Segmentation", IEEE Tr
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基于梯度模方差的图像质量评估，发表于IEEE Trans on Image processing 2014的最新论文的代码。-Image quality assessment based on gradient magnitude variance, published in IEEE Trans on Image processing code 2014 latest paper.
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图像方面的顶级期刊IEEE Transcations on Image Processing2013年发表的一篇论文 Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification -A paper Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and
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水平集方法是一种先进的图像分割方法。这个matlab代码演示了一个基于边缘的活动轮廓模型，是下面一篇带距离正则化的水平集方程论文的应用：
C. Li, C. Xu, C. Gui, M. D. Fox, Distance Regularized Level Set Evolution and Its Application to Image Segmentation , IEEE Trans. Image Processing, vol. 19 (12), pp. 3243-3254,
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