face

Probabilistic Latent Semantic Analysis模型实现，用于目标识别或文本识别(Probabilistic Latent Semantic Analysis model for target recognition or text recognition)

实验2绿叶变色，实验3图像数字化显示，实验4图像类型转换，实验5对比度增强，实验6直方图均衡化和规定化，实验7噪声添加和空域滤波，实验8边缘增强和边缘检测，实验9彩色图像增强，fft，dct，dwt变化及压缩，滤波器，实验20运动退化和维纳波复原，实验21图像的几何畸形校正等实验的代码和报告(Experiment 2 leaves change color, 3 digital image display, the image type conversion, 4 5 contrast enhancement experiment, the experiment 6, histogram equalization and regulations 7 noise adding and spatial filtering experiment, experiment and edge enhancement and edge detection, the experiments of 9 color image enhancement, FFT and DCT, DWT and compression, filter, degradation experiment of 20 movement and wiener recovery, experiment 21 image geometric deformity correction code and report)

冲激函数、阶跃函数及三角函数的小波变换、模极大线并求它们的李氏指数(The impulse function, step function and wavelet transform of the trigonometric function, the modulus maxima line and the Lipschitz exponents)

说明：  SVM算法的线性分类，图像分类单幅遥感图像特征提取分类(Linear classification of SVM algorithm, image classification, feature extraction and classification of single remote sensing image)

极化SAR图像处理，经典的Lee滤波处理，可实现sar图像的去除斑点噪声处理(SAR image filtering based on Lee s algorithm.)

说明：  计算机图形学ppt， 介绍计算机图形学基础(Computer graphics ppt, introduced the basis of computer graphics)

仿qq截图功能，如下图

人脸图像质量评价体系介绍，非常全面，此方面研究的不错入门资料(Face image quality assessment system introduced, very comprehensive study in this regard a good introductory information)

采用改进的SURF方法进行特征的提取，相比于SIFT，能获取更多的特征点(With the improved SURF methods for feature extraction, compared to SIFT, can get more feature points)

一种基于DCT变换的数字水印算法的实现过程,水印为伪随机序列，包括嵌入和提取两个过程。其中textmark.m为攻击实验代码。(DCT-based Digital Watermarking Algorithm Transform realize the process, the watermark for the pseudo-random sequence, including both the process of embedding and extraction. Textmark.m experiment in which the attack code.)