图像边缘检测

在GPU-CUDA平台上进行SIFT特征提取，加快提取速度(On GPU-CUDA platform SIFT feature extraction, speeding up the extraction rate)

采用ESIHE算法增强图像对比度，适用于夜间道路拍摄的图像(ESIHE algorithm is used to enhance image contrast, which is suitable for night road images.)

自己毕业设计做的改进的基于某vc视频处理框架代码的重心多目标跟踪代码(The center of gravity of a vc video processing framework code-based target tracking code own graduation design improvements do)

一个基于帧间差分的目标跟踪matlab源代码，解压后可直接运行，对学习跟踪有重大帮助(Frame difference of a target tracking based on matlab source code, extract can be directly run a major help in learning track)

图割（GC)和主动轮廓模型（ACM)相结合的一种图像分割方法，既可以进行局部图像的分割，也可进行全局图像的分割，简单实用。(A combination of graph cuts (GC) and the active contour model (ACM) image segmentation method, either local image segmentation, global image segmentation, simple and practical.)

给定一副图像，采用一定的策略对其进行搜索以确定其中是否含有人脸，如果是则返回一脸的位置、大小和姿态(人脸检测)

基于SUSAN特征检测算子的边缘提取，添加图片即可运行，可自行根据图片特征设置参数得到较好的边缘检测效果(Edge detection feature extraction SUSAN operator, add images to run, you can set your own parameters to get a better edge detection based on image characteristics)

根据icip会议2005年度的一篇文章编写的matlab程序。包含有效果图。 运用smqt（连续均值量化变换）算法进行灰度图像增强。它比传统方法（直方图均衡化处理）的优点在于可以保证增强后图象的直方图波形不变，可以展现图象的底层结构，自动集中改进图象细节。是一种新的效果更好的灰度图象增强算法。(under icip 2005 annual meeting of an article prepared by the Matlab procedures. Includes map results. Smqt use (continuous quantitative mean transform) algorithm for gray-scale image enhancement. It is superior to the traditional method (histogram equalization processing) has the advantage can guarantee enhanced image histogram waveform unchanged. able to display images of the bottom structure, automatic focus on improving image details. Is a new and better results gray image enhancement algorithms.)

用于高光谱图像处理的最小噪声分离变换方法。(HYPERMNF Performs the minimum noise fraction (MNF) transform hyperMnf performs the minimum noise fraction (MNF) transform on the data and uses spatial (row) offsets of the data to estimate the covariance matrix of the data. Usage )

说明：  利用蚁群算法对图片进行边缘检测，该方法速度较慢但是鲁棒性高(The ant colony algorithm is used to detect the edge of the image, which is slow but robust)