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基于Gabor小波变换的特征提取和人工智能的人脸检测系统源代码.(Based on the Gabor wavelet feature extraction and artificial intelligence face detection system source code.)

otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面面配有图像均衡化的程序一起使用，效果更好， (otsu algorithm adaptive obtain the threshold image binarization. Inside surface with image equalization program used together, the better)

说明：  傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Implement the Gaussian lowpass filter in Eq. (4.8-7). You must be able to specify the size, M x N, of the resulting 2D function. In addition, you must be able to specify the location of the center of the Gaussian function. (d) Download Fig. 4.41(a) from the book web site and lowpass filter it to duplicate the results in Fig. 4.48.)

快速运动去模糊，在盲去卷积过程中运用一些加速算法(Fast motion to blur in the blind deconvolution algorithm to accelerate the process of using some)

灰度直方图匹配的matlab源代码，比较经典！(Histogram matching matlab source code, compare the classic!)

说明：  sift 图像特征提取算法源码，对研究sift算法很有帮助。(The source code of sift image feature extraction algorithm is very helpful to the research of sift algorithm.)

实现纹理模式的LBP特征表示及分类。 实现一种基于局部二值模式LBP（Local Binary Pattern）的多分辨率灰度尺度及旋转不变性的纹理分类方法(LBP texture model to achieve that as well as the breakdown characteristics. The realization of a model based on local binary LBP (Local Binary Pattern) Multiresolution gray-scale and rotation invariant texture classification)

tsne 快速降维算法 效果好于PCA 算法(tsne fast dimensionality reduction algorithm is better than PCA algorithm)

利用奇异值分解（SUV）对图像信号分行降噪！(Singular value decomposition (SUV) of the image signal branch noise!)

用hough变换提取直线的C++代码，效果比较好，可以灵活改变可提取直线的条数，适用于提取多条直线。(line detecting using hough tranaformation)