random-hough-transform

基于数字图像处理，实现一个公路交通标志（限速）分割和识别的仿真系统。要求系统具有界面并实现以下功能： 1）读入交通标志图像； 2）预处理及交通标志定位； 3）多种图像分割功能； 4）形态学滤波等功能； 5）对标志中的数字进行识别。(Based on digital image processing, a road traffic sign (speed limit) segmentation and recognition of the simulation system. Interface and require a system with the following functions: 1) read the traffic sign 2) pre-processing and traffic signs positioning 3) a variety of image segmentation functions 4) morphological filtering and other functions 5) to mark the numbers Identification.)

基于像素标记的连通区域计算程序，只针对二值图像，随附有。(Based on regional connectivity calculation procedure pixel tags, only for the binary image, comes with.)

该程序主要用于图像处理中直方图均衡化，语言环境VC++(The program is mainly used for image processing, histogram equalization, the language environment VC++)

平台基于visual studio2015，使用opencv函数实现双边滤波，进行图像处理(bilateral Filter based on opencv)

水平集分割图像的一种算法，属于比较前沿的一种图像分割方法。(A level set image segmentation algorithm, a relatively cutting edge of a segmentation method.)

说明：  matlab实现三维重建，代码书写规范，运行稳定(Matlab to achieve three-dimensional reconstruction, code writing standard, stable operation)

关于图像处理的一些基本操作，空间、频域图像增强，形态学处理，边缘检测等(About some of the basic image processing operations, space, frequency domain image enhancement, morphological processing, edge detection, etc.)

图形图象处理中的一个非常重要的特征的提取算法,zernike矩(Graphic image processing in a very important feature extraction algorithm, zernike Moment)

针对传统中值滤波算法的优缺点,提出了一种基于相似度函数的自适应加权中值滤波算法.(Abstract：According to excellence and shortcoming of conventional median filter algorithm，an algorithm called adaptive weighted median filter algorithm based on similarity function is proposed)

数字图像处理实验-图像处理-含实验题目及源代码(Pseudo-Color Image Processing (a) Implement Fig. 6.23, with the characteristic that you can specify two ranges of gray-level values for the input image and your program will output an RGB image whose pixels have a specified color corresponding to one range of gray levels in the input image, and the remaining pixels in the RGB image have the same shade of gray as they had in the input image. You can limit the input colors to all the colors in Fig. 6.4(a). (b) Download the image in Fig. 1.10(4) and process it with your program so that the river appears yellow and the rest of the pixels are the same shades of gray as in the input image. It is acceptable to have isolated specs in the image that also appear yellow, but these should be kept as few as possible by proper choice of the two gray-level bands that you input into your program.)