SSC_1.0

k均值图像分割，经典的图像分割方法，算法简单，效果好。(k-means image segmentation)

自己编写的彩色图像车牌定位程序，能自动定位图像中的蓝色或黄色车牌，效果还不错(matlab source code for license plate location for color images, it works well.)

说明：  He met her at a party. She was outstanding; many guys were after her, but nobody paid any attention to him. After the party, he invited her for coffee. She was surprised. So as not to appear rude, she went along.

灰度图生成程序 可以生成BMP/JPG格式的灰度图 大家可以随便使用下载(Grayscale generator can generate BMP/JPG format, you can easily use the download grayscale)

sift算法在cv领域的重要性不言而喻，该作者的文章引用率在cv界是number1.本篇博客只是本人把sift算法知识点整理了下，以免忘记。本文比较早的一篇博文opencv源码解析之(3)：特征点检查前言1 中有使用opencv自带的sift做了个简单的实验，而这次主要是利用Rob Hess的sift源码来做实验，其实现在的opencv版本中带的sift算法也是Rob Hess的，只是稍微包装了下。 下面来做下试验,试验sift代码采用Rob Hess的代码，opencv目前版本中的sift源码也是采用Rob Hess的。代码可以在他的主页上下载：http://blogs.oregonstate.edu/hess/code/sift/ 这里我下载的是windows版本的，并采用Qt做了个简单的界面。(sift algorithm is self-evident the importance of the cv field, the author of the article referenced in the cv sector is number1 this blog I just sift algorithm knowledge compiled under, so as not to forget. This article compares the earlier blog post opencv source code analysis (3): check the preface of the feature points 1 the opencv bring their own sift to do a simple experiment, but this time Rob Hess' s sift source to experiment. In fact, with the opencv version sift algorithm is Rob Hess, only slightly packing the next. Below to do the next test, test sift code using the code of Rob Hess, sift source opencv version of Rob Hess. The code can be downloaded on his home page: http://blogs.oregonstate.edu/hess/code/sift/ here I downloaded the windows version, and using Qt to do a simple interface.)

采用jerk模型对机动目标跟踪算法的实现(Using jerk model maneuvering target tracking algorithm)

说明：  非常详细的一篇论文，仔细介绍了手指静脉识别的的全过程(A very detailed paper, carefully introduced the finger vein identification process)

颜色、形状、纹理特征提取算法及应用,各种方法都有，很有用。(Color, shape, texture feature extraction algorithms and applications, various methods are very useful.)

本代码可以实现图像的维纳滤波，经过调试无错误，对于学习图像处理有较好帮助。(This code can achieve the image filtering, error-free through the debugging, better for learning image processing help.)

利用四参数随机生成法生成三维多孔介质，以研究黏土、页岩等的微观流动机制(Using QSGS to construct 3D porous media)