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图片鱼眼畸变校正程序。用于处理图片桶形失真枕形失真。(Picture fisheye distortion correction program. Used for processing images barrel distortion pincushion distortion.)

使用forstner算子进行图像特征点提取(forstner for feature extraction)

图像频率域滤波程序，课程设计作业，获优秀，完全自主开发，包含搞通滤波、低通滤波、带通滤波以及方向滤波。含ＧＵＩ(image frequency domain filtering procedures, curriculum design work, outstanding, fully self-development, including engaging pass filtering, low-pass filtering, band-pass filtering and filtering direction.- GUI)

MATLAB实现的 人脸检测定位,M文件,较为准确的(MATLAB realize Face Detection positioning, M files, more accurate)

图象经过gabor小波滤波。gabor小波与图像卷积。(Image after wavelet filtering gabor. gabor wavelet and image deconvolution.)

人民邮电出版社，《VC++数字图像处理典型算法及实现》-- 第9章图像分割。 包括图像的并行边界分割、串行边界分割、并行区域分割、串行区域分割、Canny算子的实现等源代码(Posts )

ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型，通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used to create the background model, and the foreground is detected by comparing the background model and the current input pixel values)

用于图象处理的小波变换并行算法,本文在二进小波变换及Mallat快速算法原理的基础上，分析了小波变换的 可并行成分，研究了小波变换的并行算法.算法分析表明，并行小波变换可以有效 地提高运行速度，其并行处理效率也接近理想状态.(image processing for the wavelet transform parallel algorithm, In this paper, two Progressive Mallat wavelet transform and fast algorithm on the basis of principle, Analysis of the wavelet transform the parallel components of wavelet transform the parallel algorithm. algorithm analysis showed that Parallel wavelet transform effectively increase the operating speed and its parallel processing efficiency is close to the ideal state.)

随着红外成像技术的发展，红外小目标检测在军事领域有越来越重要的应用。以此为背景，研究了天空、海面、大地等各种背景下红外视频中弱小目标的检测问题。 (With the development of infrared technology,dim small targets detection play a more and more important part in the military. The problem of dim small targets detecting in a infrared video with the background of the sky,the sea and the groundhas been studied. )

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)