LaplacianPyramid

说明：  基于区域生长,(区域增长)的目标分割方法,简单实用,易上手,m语言编写,易懂易用,没有调用内部函数,方便以后改写为c语言代码,请尽情享用(Based on regional growth, (regional growth) of the object segmentation method is simple and practical易上手, m language easy to understand and use, there is no call to internal function, convenient to rewrite the future for the c language code, please enjoy)

meanshift track的。希望对大家有用o .(It s about meanshift program.)

首先通过多分辨率分解法提取高频边缘，然后分别对每层的高频边缘进行非线性插值得到新的高频边缘，接着对高频边缘进行高通滤波得到等强后的高频边缘，最后对增强后的高频边缘进行修正。再在对增强的图像进行对比度拉伸，从而达到增强的目的！(First of all, through the extraction of multi-resolution decomposition of high-frequency edge, and then were on the edge of each high-frequency non-linear interpolation to be the new high-frequency edge, and then the edge of the high-frequency high-pass filter to be strong, such as after the high-frequency edge, and finally on the brink of enhanced high-frequency be amended. Again in contrast enhanced image stretching, so as to achieve the purpose of enhancing!)

一种用于稀疏表示求解L1范数的算法，用L1范数近似L0范数获得了更好的效果。(A method for sparse representation algorithm for solving the L1-norm)

在车辆检测中，对提取的前景进行基于hsv特性去除阴影(In the vehicle detection feature to remove the shadow on hsv)

提取GIST特征的matlab实现源码，初学者实用(Extract GIST features matlab achieve source beginners practical)

说明：  BCS代码稀疏重构Lena.bmp图像，包中含有代码和图片本身，题主给了一定注释，便于CS初学者学习(BCS code sparsely reconstructs Lena. BMP image. The package contains code and image itself. The theme is given a certain comment, which is convenient for CS beginners to learn.)

这个是我自己编写和修改的圆特征检测的程序，能同时求取多个圆的圆心和半径信息。并且文件中有测试图片，直接运行就可以出结果。(The files can detect multi circles in one image at the same time，circle center and R information can be obtained.)

将一幅图像划分成8*8图像块，计算灰度梯度共生矩阵，基于混合熵对每个图像块分类(divide an image into 8*8 image blocks,calculate gray-gradient-matrix, classify image blocks based on the mixed entropy)

利用SSDA算法实现模板匹配的功能，该算法可快速有效地完成图像的匹配。(SSDA algorithm on template matching function, the algorithm can quickly and efficiently complete image matching.)