test_FLICM

说明：  利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。(The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training.)

说明：  运用二元光学元器件实现高斯激光光束的波形整形(Using binary optical components Gaussian laser beam waveform shaping)

将空间点的大地坐标投影到椭球面上，进行分带，计算坐标，最后输出高斯投影结果(gauss projection)

应用MSER检测子检测图像局部区域来估计图像尺度信息，非常好用！(Applying MSER to detect the local region in images, then estimate the image scale information, very easy to use!)

二维相位展开算法 引导相位展开方法相质量运行QualityGuidedUnwrap2D的。 运行戈尔茨坦枝剪相位展开方法GoldsteinUnwrap2D。 （3D实施质量的制导方法，可根据要求提供）(2D PHASE UNWRAPPING ALGORITHMS Run QualityGuidedUnwrap2D for the phase quality guided phase unwrapping method. Run GoldsteinUnwrap2D for Goldstein s branch cut phase unwrapping method. (3D implementation of the quality guided method available on request))

在一个具有几个顶点的连通图G中，如果存在子图G 包含G中所有顶点和一部分边，且不形成回路，则称G 为图G的生成树，代价最小生成树则称为最小生成树。 (Has several vertices in a connected graph G, if there subgraph G ' contains all vertices of G and part of the side, and does not form a loop, called G' is a spanning tree of G, the minimum cost spanning tree is called minimum spanning tree.)

otsu算法实现，可以自适应获取阈值，对图像进行二值化。里面配有图像均衡化的程序一起使用，效果更好(otsu algorithm, you can get adaptive threshold for image binarization. Which is equipped with image-based program used in conjunction with a balanced, better)

通过遗传算法选择道路图象分割的最佳阈值,阈值的选择采用最大类间方差的办法,程序运行结果达到相当理想的效果(Through the genetic algorithm to choose the best road image segmentation threshold, the threshold was chosen as the maximum between-cluster variance approach, the program results achieved the desired results rather)

说明：  遥感图像的道路提取。基于数学形态学处理的道路提取(Road Extraction from Remote Sensing Images)

可以快速准确的找出光斑、或者任何椭圆形状二值图像的质心(The center of mass of a two value image can be quickly and accurately identified.)