kjunzhi

自己编写的图像腐蚀与膨胀matlab代码，经试验证明与matlab中自带的腐蚀和膨胀函数运行效果相同，可供初学图像处理的同学参考使用。(The image corrosion and expansion matlab code written by myself has been proved to be the same as the corrosion and expansion function of the matlab. It can be used by students who are ready for beginner image processing.)

说明：  可以用来评价一幅图像是否清晰，清晰度是多少。(It can be used to evaluate whether an image is clear and how clear it is.)

说明：  本代码总结了信息熵、条件信息熵、PSNR、SSIM等图像评价指标(This code summarizes information entropy, conditional information entropy, PSNR, SSIM and other image evaluation indexes)

使用光流法对动态图像进行彩色图像的显示，原文件要求用64位系统，32位系统的混合编译已经做好了(Optical flow method using dynamic image display color images, the original file system requires a 64-bit, 32-bit compiler mixing system has already done)

基于最小相位雷克子波反褶积的matlab程序，有脉冲反褶积，最小平方反褶积和预测反褶积(Matlab program based on the the Leike Zi wave pulse deconvolution)

Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。(The basic theory of Retinex theory is the color of the object by object for the long wavelength (red), medium (green), short wave (blue) light reflection ability to decide, rather than by the intensity of reflected light of the absolute value to decide, the color of the object under illumination nonuniformity effects, consistent with the Retinex, that is based on color constancy (color constancy based). Different from the traditional linear, nonlinear image enhancement method of only one kind of features, Retinex can be in dynamic range compression, edge enhancement and three aspects of color constancy hit the balance, thus enhancing adaptive to a variety of different types of images can be.)

说明：  SURF的实现代码,用于图像特征提取，对于入门计算机视觉的同学有帮助(SURF implementation code for image feature extraction, for beginners of computer vision students help)

图像处理基础、图像运算、图像编码、图像变换、图像增强、图像复原、图像的分割、图像数学形态学处理和小波图像处理(The basis of image processing, image computing, image coding, image transformation, image enhancement, image restoration, image segmentation, image mathematical morphology and wavelet image processing)

说明：  整理了五种多曝光图像融合的代码，用于图像处理，图像去雾，有英文介绍(Five kinds of multi-exposure image fusion codes are sorted out.For image processing, image defogging, with English introduction)

图像质量评价，基于梯度的算法，适合初学者学习，其中有曲线拟合部分。(Image quality evaluation, gradient-based algorithm, suitable for beginners to learn, which curve fitting part.)