5. Morphological Operations

sift详细编写,方向等参量，参数取舍详细(sift Detailed compilation of sift, direction and other parameters, detailed selection of parameters sift sift sift sift)

说明：  利用PCA对人脸图像进行降维，然后训练神经网络分类器的Matlab程序(the Matlab in face recoginization using PCA algorithm)

车牌识别程序源码，很有用的！我也是从网上下载下来的，不过我自已做了些修改！(plates source identification procedures, very useful! I also downloaded from the Internet, but I do own some changes!)

用matlab实现了一系列示例：球差，慧差，像差，像散。(Using matlab to achieve a series of examples: spherical aberration, coma, aberration, astigmatism.)

说明：  数字图像处理 小波处理 ，去噪音，比基于傅里叶变换的去噪方法好。 含噪信号经过预处理，然后利用小波变换把信号分解到各尺度中，在每一尺度下把属于噪声的小波系数去掉，保留并增强属于信号的小波系数，最后再经过小波逆变换恢复检测信号。(The noisy signal is pre-processed, then the signal is decomposed into different scales by wavelet transform. The wavelet coefficients belonging to noise are removed at each scale, and the wavelet coefficients belonging to the signal are retained and enhanced. Finally, the detected signal is restored by inverse wavelet transform. It is better than the denoising method based on Fourier transform.)

说明：  一些电路图，包括电脑红外遥控，调速风扇，无线免提电话电路，学习型红外遥控终端，智能脉冲自行车充电器等。(Some circuit, including computer infrared remote control, fan speed, wireless hands-free telephone circuits, a learning IR remote control terminals, smart pulse bicycle chargers.)

灰度共生矩阵相关资料，包括生成灰度共生矩阵matlab代码，Matlab7工具箱中缺少的graycomatrix.m文件，以及一个通过灰度共生矩阵提取特征的matlab程序（共20多个特征），可以根据他的方法来从灰度共生矩阵中提取你需要的特征。(GLCM relevant information, including generating GLCM matlab code, Matlab7 toolbox graycomatrix.m missing documents, and a gray level co-occurrence matrix feature extraction through the matlab program (a total of more than 20 features), can be based on his method to extract from the GLCM features you need.)

运用fisher方法进行pca降维和Lda特征提取的人耳识别。(Use fisher method Lda PCA dimensionality reduction and feature extraction to identify the human ear.)

基于matlab的指纹识别源码 包括预处理、特征点提取和特征点匹配(Fingerprint recognition source code based on MATLAB includes preprocessing, feature extraction and feature matching)

图像经过双随机处理和分数阶傅里叶变换，可以达到加密解密的功能，且对密钥敏感性较强。(The image undergoes double random processing and fractional Fourier transform, which can achieve the function of encryption and decryption, and has strong sensitivity to the key.)