WirelessSensorNetSimulationP

自己写的Normalized Cut图像分割，聚类程序，程序非常清晰，花了很长时间调试。(Normalize Cut)

论文+ppt，我的数字图像处理课程设计，题目是基于均值滤波和小波分析的图像去噪方法(Thesis+ppt, digital image processing course design, subject image denoising method based on mean filter and wavelet analysis)

说明：  图像拼接 采用SIFT+RANSAC的特征匹配方法实现图像拼接(Image mosaic is realized by SIFT + RANSAC feature matching method)

提取AVI格式视频文件为一帧一帧的jpg格式图片(Extraction of AVI format video files to a jpg format of a picture)

K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.(K-Means algorithm does not require the establishment of the model after the new prediction of the results, there is no corresponding tag, but only on the characteristics of data clustering data. The principal component analysis reduces the dimension, carries on the visualization operation to the data, reduces the dimension to the features.)

是国外大牛编写的，对图像进行二维反卷积恢复代码,该代码主要针对图像的失焦模糊。(Prepared by the large foreign cattle 2D deconvolution, image recovery code.)

光谱角(Spectral Angle)衡量像素间的相关性存在着差异，本程序用于计算光谱角，及光谱角匹配(Spectral Angle (Spectral Angle) to measure the correlation between pixels there are differences, the process used to calculate the spectral angle, and spectral angle matching)

这是一种对TV模型算法的一种快速改进算法，C++实现，在Code::Blocks下编译成功(This is a TV model algorithm for a fast algorithm, C++ achieve, in the Code :: Blocks compile successfully under)

说明：  生成显著图方法，一种基于空间频域分析的显著性分析算法（Spectral Residual，SR算法）的matlab实现代码(Matlab code generated saliency map method based on the spatial frequency domain analysis of significant analysis algorithm (Spectral Residual, SR algorithm))

说明：  图像处理的位图操作，256色转为灰度图，图像处理入门源程序(Bitmap image processing operations, 256-color to grayscale, image processing, entry-source)