picture

说明：  1. 对图像进行傅里叶变换。 2. 根据傅里叶变换的结果去除图像的竖条纹噪声。 3. 对图像进行傅里叶逆变换，得到分割图像。 (1. For the image Fourier transform. 2. According to the results of Fourier transform to remove the image of the vertical stripe noise. 3. Inverse Fourier Transform of the images obtained segmented image.)

对于遥感图像，研究了一种基于基于Contourlet变换和分形压缩方法，方法具有一定的实用价值，程序包中有实验图片。(For the remote sensing images, a kind of transformation based on Contourlet and fractal based compression methods, the method has some practical value, experimental pictures in the package.)

实现凸多边形排样，使用临界多边形NFP判断两个凸多边形形是否相交,使用启发式算法提高效率， (Convex polygon nesting, polygon NFP to determine whether two convex polygon-shaped intersection, the use of heuristic algorithms to improve efficiency,)

该文件夹包括了MCA算法进行图像修复等相关图像处理(This files includes image inpainting and some other proessing.)

使用Matlab实现LMS自适应滤波，实现的主要功能有：读入原始音频，加入高斯噪声后用LMS自适应滤波滤除，比较原始音频，加入噪声音频和滤波后音频的区别。(Matlab achieved using LMS adaptive filtering to achieve the main features are: read the original audio, adding Gaussian noise is filtered using LMS adaptive filtering, comparing the original audio, add audio and noise filtered audio difference.)

指纹分类是指纹准确识别的前提，该程序是指纹分类源码(Fingerprint classification is a prerequisite to accurately identify the fingerprint, fingerprint classification code of the program is)

基于肤色的图像分割，是用matlab实现的，希望大家有用(Image segmentation based on skin color is achieved with matlab, I hope it would be useful)

快速傅里叶变换的C实现，采用新的倒序算法，程序代码只有一百多行，就要以实现千个采样点的计算(Fast Fourier Transform of C realized, the introduction of a new reverse algorithm, program code, only more than 100 lines, it is necessary to achieve the 1000 sampling points calculation)

说明：  基于MATLAB图像阈值分割 ，有不同的方法，如人工阈值分割，大津法阈值分割等(Based on MATLAB image threshold segmentation, there are different methods, such as artificial threshold segmentation, Otsu threshold segmentation and so on)

IEEE CSVT 2001的一篇关于颜色直方图法的论文,彩色图片的颜色特征提取算法的代码.(IEEE CSVT 2001 an article about color histogram method paper, color the picture color feature extraction algorithm of the code. )