Separating-Reflections-from-Image

数字图像的渐进式传输，采用掩膜矩阵进行基本层和增强层的划分(Progressive transmission of the digital image, the base layer and enhancement layer is divided by using the mask matrix)

说明：  Goldstein滤波方法matlab的实现，可用与ESPI电子散班，Insar条纹图，指纹图滤波使用！(Goldstein realization matlab filtering method can be used with the ESPI electronic dispersion classes, Insar fringe pattern, the use of fingerprint filtering!)

OCR的概念是在1929年由德国科学家Tausheck最先提出来的，后来美国科学家Handel也提出了利用技术对文字进行识别的想法。而最早对印刷体汉字识别进行研究的是IBM公司的Casey和Nagy，1966年他们发表了第一篇关于汉字识别的文章，采用了模板匹配法识别了1000个印刷体汉字。(The concept of OCR in 1929 by the German scientist Tausheck Handel first put forward later, scientists in the United States also put forward ideas of text recognition using technology. In 1966, they published their first article on Chinese character recognition, using template matching method to recognize 1000 printed Chinese characters.)

图像处理中的多尺度分割程序，使用matlab开发环境(Image processing procedures for multiscale segmentation)

数字图像抠图源代码,是由一个外国人写的，非常好用，我希望能和大家一起分享(digital image matting matlab code written by a foreigner,it is very useful and I would like to share with everyone)

我的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下。(I graduated from design, matlab key frame extraction for the code, with reference to code optical flow method. Frame difference is based on the Euclidean distance, the mean, variance, difference coefficient under the key frame extraction. Debugging through the code, run the results are satisfactory, the next to share with you.)

基于vc++6.0的SURF算法的程序代码，可以直接运行(Based on the SURF algorithm for vc++6.0 program code can be run directly)

这是一个去背景并且进行阈值分割的程序，阈值的选择采用迭代法(This is the background to a threshold value and segmentation procedures, the threshold value of the options using the iterative method)

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)

自己的小波包程序（含消噪、能量特征提取、信号重构等），希望对大家有帮助(Wavelet packet procedure (including de-noising, the energy feature extraction, signal reconstruction, etc.), we hope to help)