CIE坐标计算

说明：  利用IDL编程，使用最小距离法对图像进行监督分类(Using IDL programming, using the minimum distance method to supervise the classification)

基于matlab的保偏光纤环零漂的影响仿真，从原理上探究单模光纤扭转对光纤角速度传感器零漂的影响。(Matlab-based polarization maintaining fiber ring zero drift effects simulation, in principle, to explore the fiber single-mode fiber to reverse the impact of the angular velocity sensor zero drift.)

本程序可以实现bmp图像的放大和缩小，希望对大家有所帮助(Bmp image of the program can zoom in and out, we want to help)

实现凸多边形排样，使用临界多边形NFP判断两个凸多边形形是否相交,使用启发式算法提高效率， (Convex polygon nesting, polygon NFP to determine whether two convex polygon-shaped intersection, the use of heuristic algorithms to improve efficiency,)

本程序集合了互信息配准，PV差值，powell算法，基于小波变换的图像融合的一整套算法。只需要在GUI界面输入两幅图像，即可自动完成图像的配准融合。程序包含Matlab源代码。用Matlab打开imagefusion.m，即会弹出gui界面。融合前要输入参考和浮动图像。图像要求像素的 长＊宽 一样。否则会报错。程序只能处理灰度图像，彩色图像也会转化成灰度图像处理。程序代码已经有详细的注释，方便读者理解。(The procedures set of mutual information, PV difference, powell algorithm, based on wavelet transform image fusion set of algorithms. Only need to enter the two images in the GUI interface, you can automatically complete the image registration fusion. Program contains Matlab source code. Using Matlab open imagefusion.m, gui interface will pop up. Fusion before the input reference and floating images. Image requires the same pixel length* width. Otherwise incorrect. Can only handle grayscale images, color images into gray image processing also. Program code has detailed notes, to facilitate understanding.)

程序可以提取点云数据的特征点，提取三维散乱点云的边界(Program point cloud data can be extracted feature points extracted boundary of D Scattered Clouds)

局部拉普拉斯滤波代码，效果很好，可以直接运行(Edge-aware Image Processing with a Laplacian Pyramid)

本算法应用hough变换对车道进行直线检测，对于系统拍摄到的路面进行车道检测。(Application of this algorithm hough transform for line detection of the lane, shooting for the system to carry out road-lane detection.)

Gerchberg-Saxton算法实现对图像相位的恢复，输入两张图片其中一张作为目标振幅。是对GS算法很好理解的一个程序。(Gerchberg- Saxton, algorithm of image recovery phase, one input two pictures as the target of amplitude.Is a program of GS algorithm is easy to understand.)

它所描述的是不同色彩在整幅图像中所占的比例，而并不关心每种色彩所处的空间位置，即无法描述图像中的对象或物体。颜色直方图特别适于描述那些难以进行自动分割的图像。(It describes the proportion of different colors in the entire image, and does not care about the spatial location of each color, that is, it can not describe objects or objects in the image. Color histograms are especially suitable for describing images that are hard to segment automatically.)