Landsat5_Calibration

说明：  一个简单的画图程序，提供基本图元点、线、面，图元填充、裁剪的操作(Simple Draw)

对图像进行平滑处理，能够很好的去除噪声的干扰，锐化图像能得到很好的效果(Of image smoothing, noise removal can be a good interference, sharpening an image can get very good results)

该文件使用特征点提取-图像匹配-图像剪影三部，精确检测车辆或运动物体。(the documents Feature Extraction-Image Matching- Image Capture 3, accurate detection of vehicles or moving objects.)

hough 检测直线 算法简单 是静态图像中检测直线的快速实现( Hough detecting )

最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。(Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matching, which is very detailed.)

说明：  matlab编写的纹理图像分割，用c-v模型进行图像分割(matlab prepared texture image segmentation, cv model using image segmentation)

opencv,图像处理，关于物体粘连问题的检测，基于凹性分析的分割方法(opencv, image processing, object sticking problem on detection, segmentation method based on analysis of the recess)

说明：  按照最邻近原则把待分类样本点分到各个簇。然后按平均法重新计算各个簇的质心，从而确定新的簇心。一直迭代，直到簇心的移动距离小于某个给定的值。(According to the nearest neighbor principle, the sample points to be classified are divided into clusters. Then the centroid of each cluster is recalculated according to the average method to determine the new cluster center. Iterate until the moving distance of the cluster center is less than a given value)

轻量级的MTCNN实现，无需caffe和tensorflow基本库支持，内部实现卷积运算，速度比普通mtcnn要快一倍。

Speedy GA Graphical analysis