color-image-seg

有关图像的目标识别："给出一种基于特征分类辨识的合成孔径雷达图像目标检测方法#用恒虚警和扩展分形方法对3&E图像进行目 标检测后用面积和峰值能量比算子辨识目标和背景杂波!去除一部分虚警!用小波域主成分分析对每个检测窗口内的图 像提取特征向量!用支持向量机对提取得到的特征向量进行分类!辨识目标和背景杂波!完成目标检测#使用&K?3数 据对该方法进行验证和分析!实验结果表明!经过特征分类辨识后!在检测率不变的情况下!虚警数目显著降低# (Related to the image target recognition)

灰度图像简单的去噪方法；MATLAB实现模板操作的方法；空域滤波中常用的平滑滤波器；利用MATLAB程序进行图像去噪。(Simple grayscale image denoising)

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

说明：  用VB做的图像二值化的代码,希望能对大家有帮助(vb image test)

Curvelet变换进行图像去噪，Matlab7.0程序(Curvelet transform for image denoising, Matlab7.0 procedures)

关于相位相关的算法，用于配准，有些可以达到亚像素(on phase correlation algorithm for registration, and some can reach sub-pixel)

基于K-means的优化聚类中心的图像分割算法，改进了FCM算法的缺点(Based on the optimization of K-means clustering center image segmentation algorithm to improve the shortcomings of the FCM algorithm )

基于数学形态变换的骨骼CT边缘提取 Canny算子(Transformation of bone based on mathematical morphology edge detection Canny operator CT)

Image retrieval lecture

白噪化处理，这是高光谱图像数据降维的前预处理，也称为球化，在数据降维中必须用到(White noise process, which is pretreatment hyperspectral image data dimensionality reduction, also called the ball in the data dimensionality reduction must be used)