sfft

高速机动目标检测跟踪的程序，好不容易写的，请珍惜(High-speed target detection)

利用梯度插值算法实现图像的去马赛克，图像质量大大提高(Using gradient interpolation algorithm to achieve image mosaic, image quality is greatly improved)

这是我做的一个二维傅里叶变换的程序，可以对图像进行2DFFT变换得到频谱图，并利用2DIFFT得到原图像(I do a two-dimensional Fourier transform procedure, 2DFFT transform spectrogram image and utilize 2DIFFT original image)

说明：  去噪模型TV,可用于图像去噪，效果良好，模型特别简单(The denoising model TV can be used for image denoising, the effect is good, and the model is particularly simple.)

索书号文字图像分割，粘连字符切分，彩色车牌分割 ，文字识别的结构特征提取子函数(Call text image segmentation, character segmentation, color plate segmentation, text recognition feature extraction Functions)

说明：  本程序基于MFC，VS2010编写，是一款可以打开任意视频格式的播放器，具有打开视频（任意格式，avi，mp4, rmvb,asf,avi,mpeg等）， 具有快进，快退，暂停，播放，上一帧，下一帧，截图，拍照，快速播放慢速播放功能，同时提供图像处理功能（视频图像增强，视频图像去雾，海上目标检测功能）。(This program is based on MFC, VS2010. It is a player that can open any video format. It has open video (arbitrary format, avi, mp4, rmvb, asf, avi, mpeg, etc.). It has the functions of fast forward, fast backward, pause, playback, last frame, next frame, screenshot, photograph, fast playback and slow playback. It also provides image processing functions (video image enhancement, video image defogging, sea target detection).)

新的水下图像对比度增强和分割算法（实现对比度的增强和图像分割，内容包括：新的水下图像对比度增强算法、水下图像的分割算法--2008a）(The new underwater image contrast enhancement and segmentation algorithm (implemented contrast enhancement and image segmentation, including: new underwater image contrast enhancement algorithms, underwater image segmentation algorithm- 2008a))

mfc图像处理，实现图像的配准，自己编写，可以应用(mfc image processing, image registration)

说明：  图像特征提取的Contourlet变换工具包，可以设置分解层次，例如，三层分解提取17维特征，用于纹理图像或者SAR图像分割应用中(Image feature extraction toolbox of Contourlet transform, you can set the level of decomposition, for example, three level with 17-dimensional, for the segmentation on texture image or SAR Image)

双数复小波阈值除噪程序，可以实现双数复小波分解及重构。并能实现阈值除噪。(Double the number of complex wavelet threshold denoising procedures can achieve double the number of complex wavelet decomposition and reconstruction. And to achieve the threshold noise removal.)