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利用ICM方法得到基于MRF场的SAR图像分割(Achieve market segmentation ICM s MRF)

基于SIFT+Kmeans+LDA的图片分类器的实现源码。 博文参考：http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html(The pictures classifier based on SIFT, Kmeans and LDA. Blog Reference: http://www.cnblogs.com/freedomshe/archive/2012/04/24/2468747.html)

对火焰图像进行二值化 边缘检测 链码提取 并计算火焰图像的面积和周长 绝对好用！(Binarization flame image edge detection chain code extraction and absolutely easy to calculate the area and perimeter of the flame image!)

用于火焰尖角、圆形度、纹理的测量以及图像颜色、矩阵、边缘直方图的测量(For flame sharp corners, roundness, texture measurements, and image color, matrix, edge histogram measurements)

Digital Image Correlation (DIC) is an optical, non-contact method to measure full-field displacements and strains. The only requirement is that the test specimen has a random speckle pattern on its surface, either generated by the experimentalist (i.e. random paint pattern) or occurring naturally (i.e. surface texture at large magnifications). There is no inherent length scale to DIC - by choosing the appropriate magnification of images and the corresponding speckle size, DIC can be used to measure displacements from the meter scale to the micron scale.

按照夹角余弦距离计算待测样品与样品库的样品相似度(Cosine distance calculation in accordance with the test sample and the sample database sample similarity)

本文提出了一种单相三线（143W） 电网连接photovoItaic（PV）逆变电源与功能 部分有源电力滤波器（武警部队），它不仅可以处理 光伏发电，但过滤电流谐波，提高功率因数。(This paper presents a single-phase three-wire (14 3W) grid-connection photovoItaic (PV) power inverter with a feature of partial active power filter (PAPF), which can not only deal with PV power but filter current harmonics and improve power factor. )

说明：  压缩传感理论的一个简单例子，首先对信号进行稀疏采样，然后利用MP算法对信号进行重建。(Compressed sensing theory of a simple example, first of all, the signal sparse sampling, and then use MP algorithm of signal reconstruction.)

1、去条带噪声（通道均衡）程序 2、去冲击噪声程序 3、KSVD程序 均为matlab源代码(1 to band noise (channel equalization) program 2, to the impact of noise program 3, KSVD program Matlab source code are)

分割视图 希望大家多多批评指正 多多交流(segmentation View I hope Members can interact more criticism correction)