ColorHistogram

说明：  采用双相位编码对图像进行加密解密，采用双随机相位加密技术得到的 S 分量的相息图, 在加密的过 程中引进了随机相位因子, 在不知密钥的情况下解 密出 S 分量几乎不可能, 从而保证了的安全性(Two phase encoding is used to encrypt and decrypt the image)

visual c++ 工具 c语言 实现的灰度共生矩阵。(visual c++ tool c language GLCM.)

说明：  小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)

matlab编的基于图像矢量量化的水印程序，用分割码本的办法嵌入水印！(matlab for image vector quantization-based watermarking process, with the approach of the division of code embedded watermark!)

提出了一种针对复杂环境下的过人脸检测方法，首先在CbCgCr空间利用直接最小二乘法构建了对光照和复杂背景鲁棒性更好肤色聚类模型，实现了准确的肤色检测；然后针对人脸中姿态和表情变化，提出了基于Adaboost的多姿态人脸检测，精确的实现了人脸检测定位。(Extraordinary face detection method for complex environments, the first space CbCgCr ​ ​ direct least squares method to build a better robustness to light and complex background color clustering model to achieve accurate color detection forface, posture and facial expression changes, proposed the multi-pose face detection based on Adaboost, accurate face detection and location. )

实现shift算法，进行精确的图像识别，可以抵抗各种旋转、平移、缩放等仿射变换的攻击(Realize shift algorithm, an accurate image recognition, you can resist all kinds of rotation, translation, scaling affine transformation attack)

用于图像处理-圆检测，可检测多个圆，效果好(For image processing - circle detection, can detect multiple circles, the effect is good.)

用于人脸识别，检测驾驶员人员是否疲劳，在现实中有很好的应用，其算法简单易懂，适合初学者(For face recognition, detection of driver fatigue, in reality has a very good application, the algorithm is simple, easy to understand, suitable for beginners)

说明：  水下图像处理方法之一的图像融合算法matlab实现(Matlab implementation of image fusion algorithm, one of the classical image processing methods)

用WENO,ENO等高分辨方法结合LEVELSET做图像处理(With WENO, ENO methods, such as high-resolution image processing done LEVELSET)