cfa_laroche

SURF 图像特征点快速提取法还有描述，可用于迅速匹配两张图片中的特征点(SURF image feature points extraction method also described fast, can be used to quickly match the image feature points in the two)

基于对尺度的MSR算法的医学图像增强算法。 调试可以通过 对于低对比度的医学图像有很好的效果！(scale based on the MSR algorithm of medical image enhancement algorithms. Debugging through the low-contrast image has good results!)

MRF分割程序，C++编写，进行图像分割处理，帮助熟悉分割过程及能量最优求解(markov image segmentation, energy interation algorithm)

基于马尔科夫随机场的SAR图像分割方法，对应于采用最大后验概率准则对SAR目标切片图像分割，采用聚类分析算法求解。(SAR image segmentation based on Markov random fields, which corresponds to using the maximum posterior probability criteria for SAR Target Chip Image segmentation using cluster analysis algorithm for)

亚像素级cvFindCornerSubPix角点检测，可较为精确地对角点进行检测(The subpixel cvFindCornerSubPix corner detection)

说明：  本算法是matlab代码，通过icp点云匹配算法实现三维点云的配准(The algorithm is matlab code, and the registration of three-dimensional point cloud is realized by ICP point cloud matching algorithm.)

说明：  利用遗传算法进行的 单阈值的图像分割 程序采用matlab编写(The use of genetic algorithm the single-threshold segmentation procedure prepared using matlab)

SIFT特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少.(SIFT feature matching algorithm is at home and abroad feature points matching hot area of ​ ​ research and difficulties in its matching capability that can handle between the two images, translation, rotation, the matching problem in the case of affine transformation, and even to some extent have a relatively stable feature of the ability to match images taken on any angle. The algorithm is more foreign materials, but the Chinese introduction less.)

在matlab环境中用快速傅里叶变换实现多目标追踪，计算的非常快(Matlab environment using the fast Fourier transform to achieve multi-target tracking, very fast calculation)

介绍了当前谐波检测的主流的几种技术，包括瞬时无功功率理论，自适应检测理论，傅里叶变换理论等，并做了相应的建模分析(Introduced the mainstream of current harmonic detection of several techniques, including instantaneous reactive power theory, adaptive detection theory, Fourier transform theory, and do the corresponding modeling analysis)