retinex

说明：  1.6尺度不变特征提取，内附代码和文件说明，实证可用(1.6 Scale invariant feature extraction, enclosed code and document description, the empirical results are available.)

使用adaboost方法进行人脸检测,图象库自己添加。(Face detection with adaboost method.)

反混淆直线 采用未加权的区域采样算法 效果很不错()

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)

matlab图像处理中经典图片，包括lena，baboon，等(MATLAB image processing classic pictures, including Lena, baboon, etc.)

pcnn 彩色图像分割中，是非常有用的一个程序！！！！！！(PCNN is applied to the color image segmentation.it is very very very very useful!)

2维图像的透视变换，空间变换，可对拍摄的图像进行几何校正(Perspective transformation, the two-dimensional image space transformation, the geometric correction of images taken)

一种基于可逆信息隐藏的的无损鲁棒数字水印模型的研究(Study on framework model of lossless robust digital watermarking based on reversible data hiding)

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)

说明：  本设计是基于MATLAB GUI界面的特效处理系统。配一篇配套论文。探讨了包括色彩调整、代数运算、几何运算、滤镜效果、艺术效果、扭曲效果和风格化七个模块的处理。色彩平衡可以按照特定要求改变图像中每个像素的亮度值；代数运算可以对两幅图象进行代数运算；几何运算可以对图象进行简单的形状处理；滤镜效果是针对相临像素间的关系来处理每个像素，达到一种特殊的效果。艺术效果是可以将图象加工成精美的“艺术品” ；扭曲效果可以对图像进行变形处理；风格化属于破坏性滤镜，通过置换像素生成绘画或印象派的效果。(This design is a special effect processing system based on Matlab GUI interface. With a supporting paper. The processing of seven modules including color adjustment, algebraic operation, geometric operation, filter effect, artistic effect, distortion effect and stylization are discussed. Color balance can change the brightness value of each pixel in the image according to specific requirements; algebraic operation can carry out algebraic operation on two images; geometric operation can carry out simple shape processing on the image; filter effect is to deal with each pixel according to the relationship between adjacent pixels to achieve a special effect. The artistic effect is that the image can be processed into exquisite "artworks"; the distortion effect can deform the image; stylization belongs to destructive filter, which can generate painting or Impressionist effect by replacing pixels.)