Wavelet_analysis_matlab_code

说明：  边缘提取源码，国内一高手写的，对计算机视觉等很有用，代码精炼(Edge source, the domestic one written by a master of computer vision and other useful code Refining)

采用极大值法实现图像处理中的小波去模糊。基于matlab函数实现。(Using the maximum value method to achieve image processing wavelet deblurring. Based on matlab function implementation.)

迭代加权最小二乘法（IRLS），用以恢复压缩采样后的信号(Iteratively Reweighted Least Squares Minimizaion for Sparse Recovery)

we introduce the Color-based Catchment Basin Merging Algorithm, an area-based segmentation approach that is specifically designed to segment low-altitude aerial images, as a preprocessing step to 3D reconstruction. This approach extends the watershed-based Catchment Basin Merging Algorithm, which is purely geometric, by introducing color similarity as an additional criterion to decide on the merging of evolving regions. Experiments performed with real aerial images of varied nature demonstrate that this modification eliminates over-segmentation problems of the existing algorithm, allowing large-scale urban scenes to be segmented in an accurate, reliable and fully automatic way.

This report is written in fall semester of 2004 and spring semester of 2005 at Aalborg University, at the institute for Electronic Systems, department for process control under the study council for Electronic and Informations Technology.

利用music算法进行谱峰搜索，对一模拟信号的空间谱的峰值进行搜索(spectral-peak-searching music matlab)

This Matlab code was developed for skin pixel detection in general imagery. Non-parametric histogram-based models were trained using manually annotated skin and non-skin pixels. A total of 14,985,845 skin pixels and 304,844,751 non-skin pixels were used.

MATLAB实现大气湍流随机相位屏，以傅里叶变换为基础，增加了低频次谐波补偿 使相位屏仿真更加准确(atmosphere random phase is realized with MATLAB.)

应用MATLAB仿真平台根据图像偏移量实现图像的透视变换(MATLAB simulation platform perspective transformation of the image according to the image offset)

这是TVAL3算法，是基于增广拉格朗日法和交替方向法的全变分最小化算法。这个算法是有关压缩感知的重建算法的例子。TVAL3算法是在最小全变分法的基础上，结合了增强型拉格朗日函数和交替最小化方法。通过交替最小化方法寻找增强型拉格朗日模型的最小值，再由最速下降法进行迭代，更新拉格朗日乘子。 (TVAL3: TV minimization by Augmented Lagrangian and ALternating direction ALgorithms.This algorithm is an example of a reconstruction algorithm for compressed sensing. The TVAL3 algorithm is based on the minimum total variation method, which combines the enhanced Lagrange function and the alternating minimization method. The minimum value of the enhanced Lagrange model is sought by the alternate minimization method, and then the iterative method is updated by the steepest descent method.)