snakesf_demo

数字图像相关方法中的一种亚像素求解算法，通过此算法可以获得全场位移，继而得到全场形变。(A sub-pixel algorithm in digital image correlation method, which can obtain the full field displacement, and then get the full field deformation.)

用霍夫曼方法检测圆，直线！其中更包含了圆的自动生成！(Hoffman method using a round, a straight line! One more round included automatically!)

细化。通过MATLAB对图像进行细化提取骨架处理，从而方便进行下一分析(Refinement zs appises the Zhang-Suen skeletonization algorithm to image IM. IM must be binary.)

在桌面上显示图像，C++Builder精选编程学习源码，很好的学习资料。(Image display on the desktop, C++Builder select learning programming source code, very good learning materials.)

EKF2.0 利用扩展卡尔曼滤波器实现的SLAM算法，Matlab版本，是一个模拟的程序。运行方法为先载入mat，再运行XXX_sim函数。(EKF2.0 using the extended Kalman filter SLAM algorithm, Matlab version, is a simulation program. The method of operation for the first load the mat, run XXX_sim function.)

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)

说明：  VC++.NET车牌识别、字符分割与归一化处理，图像对象BMP格式，程序将读取车牌的图像信息，归一化图像大小，动态分配存储图片的像素信息的二维数组，找到图像各列，从左列开始,垂直扫描，实施图片局部分割等，有兴趣编写车牌号识别的可参考对比下。(VC ++. NET license plate recognition, character segmentation and normalization processing, image object BMP format, the program will read the license plate image information, normalize the image size, dynamically allocate a two-dimensional array of pixel information to store the picture, and find the image columns , Starting from the left column, vertical scanning, partial image segmentation, etc. If you are interested in writing the license plate number recognition, please refer to the comparison.)

说明：   [Wang 1998]Spiral CT Image Deblurring for Cochlear Implantation

本代码使用引导滤波器去除图像中的雨滴 在对雨雪天气图像进行清晰化处理之前，要对其中的动态成分进行自动辨识和去除。快速有效的自动辨识及去除方法是构建自适应多种低能见度条件视觉增强算法的前提条件(This code USES the guided filter to remove image in the rain Before the clarifications in rain and snow weather image processing, to the dynamic content of the automatic identification and removal.Quick and efficient automatic identification and removal method is to construct the adaptive multiple visual enhancement algorithm is the premise of low visibility conditions)

基于Hough变换和基于Radon变换的直线检测算法代码(source code of two straight line detection algorithm (based on Hough Transform and Radon Transform))