分形维数计算的matlab

图像纹理分析的源代码，基于分形维数的图像纹理分析(Image texture analysis of source code, based on fractal dimension of image texture analysis)

Lucy Richardson algorithm for image restoration

老外写的程序，可对三角形进行渲染，有详细的算法介绍。非常棒(A good Triangle Renderer Project，with detailed introduction.)

可以对边缘检测出来的椭圆,实现椭圆参数的自动提取,非常的好用,自己编写的,请各位大哥多指教,QQ:526289(be on the verge of testing the ellipse, the ellipse parameters to achieve the automatic extraction, very convenient, their preparation, please enlighten you more than big brother, QQ : 526289)

这是一个数字图像处理的程序，能够实现目标检测与跟踪，事项了EM算法、是对原有的算法改进。(This is a program of digital image processing, target detection and tracking can be achieved, the matter of the EM algorithm, the improved algorithm is the original.)

说明：  matlab编写的共轭梯度法，用来解决非线性优化问题(matlab prepared by the conjugate gradient method is used to solve nonlinear optimization problems)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

用于图像拷贝检测的图像匹配，提取图像的SIFT特征点，构成图像的特征。(For image copy detection of image matching, image SIFT feature point extraction, and then sift feature point the image characteristics)

image compression using sphit algorithm

对飞机进行边缘检测，阈值分割。从而达到图像感兴趣区域提取的目的，能使得图像中的飞机以黑白形式清晰地单独显示出来(Aircraft edge detection , thresholding . So as to achieve the purpose of extracting image regions of interest , can make the image appear as black and white aircraft clearly separate)