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对细胞进行分割和追踪的代码，细胞是植物细胞，其中的两篇论文是局部图分割的经典论文，值得一看(To segmentation and tracking code of cells, cells is plant cell, two of the paper is a classic papers of local map segmentation, worth a look)

最经典之做，保证别人没有上传过 实现文章 “GrabCut" Interactive Foreground Extraction using Iterated Graph Cuts 用graphcut实现图像分割，效果非常好(The most classic to do to ensure that other people do not realize uploaded article GrabCut Interactive Foreground Extraction using Iterated Graph Cuts with graphcut realize image segmentation, has very good results)

Matlab写的SVM图像分类程序，是完整的可运行的图像分类程序，高手可以研究一下。(Matlab write SVM image classification procedure is complete working image classification procedures, experts can look at.)

Simple Shape Detection using Hough Transform 用霍夫变换做为形状检测的matlab源码,从matlab官网下载(Simple Shape Detection using Hough Transform Hough transform used as a shape detection matlab source, from the official website download matlab)

说明：  matlab近红外光谱进行掺假判断，运用plsda建模可以进行真假鉴别(The near infrared spectrum of MATLAB is used to judge the adulteration, and plsda modeling can be used to identify the authenticity)

说明：  一种比较实用的sar影像边缘检测算法，谢谢大家交流(A practical edge detection algorithm for SAR images. Thank you for your communication.)

常规的中值滤波器，在噪声的密度不是很大的情况下效果不错。但是当概率出现的概率较高时，常规的中值滤波处理后，仍然具有噪声点，并丢失了细节和边缘，效果不是很好。 自适应中值滤波器可以尽可能的保护图像中细节信息，避免图像边缘的细化或者粗化。(The conventional median filter works well when the noise density is not very large. However, when the probability of probability is high, the conventional median filter still has noise points, and the details and edges are missing. The result is not very good. The adaptive median filter can protect details in the image as far as possible and avoid thinning or coarsening of the image edges.)

对Vladimir Kolmogorov，Yuri Boykov大牛的算法杰作——Graph Cut进行使用演示，代码力求精简，可供Graph Cut初学者参考学习。已通过VS2005编译。(Of Vladimir Kolmogorov, Yuri Boykov big cow masterpiece algorithm- Graph Cut for the use of demonstration, the code to be simple, for beginners Reference Graph Cut Study. VS2005 compiler has passed.)

说明：  高斯尺度差角点检测算法 将轮廓曲线在不同尺度下的演化差异的变化量作为角点响应函数并提出相应的 DoG 检测算子(Gauss scale difference corner detection algorithm)

检测视频中的运动目标以及阴影，并消除阴影，基于opencv，将RGB颜色空间根据一定的转换关系转换到HSV空间，最后消除阴影， 可以在vc6.0和vs2008上正常运行(Shadow detection algorithm based on HSV color space)