图像分割

说明：  数字图像处理 西电版 很好的学习数字图像处理的书籍(Digital Image Processing Western Electric version of good learning digital image processing books)

霍夫变换 以及相应的源码 用于图像处理中的 直线检测 参数估计等hough transform(Hough Transform)

傅里叶变换：采用VC++编写，实现二维图像的傅里叶变换(Fourier Transform: The VC++ prepared to achieve the two-dimensional Fourier transform of the image)

在matlab环境中对图像提取Haar特征(Environment in matlab to extract Haar features for image)

二维otsu的快速实验算法，具体可参考相应的文献。(Two-dimensional Otsu rapid test algorithm, specific reference to the corresponding literature.)

基于数字图像处理，实现一个车牌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）预处理及车牌标志定位； 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, segmentation and recognition of a license plate emulation system. Interface and require a system with the following functions: 1) read the traffic sign 2) pre-processing and positioning plate mark 3) a variety of image segmentation functions 4) morphological filtering and other functions 5) to mark the numbers Identification.)

说明：  实现SURF图像匹配，并将图片进行扭曲处理再次实现匹配。(Surf image matching is realized, and the image is distorted to achieve matching again.)

指纹图像因设备、图像增强处理等原因造成的纹线断裂会产生伪特征点,会对指纹识别产生负面影响。在结 合传统方法优点的同时,针对间距大、方向偏移小和间距大、方向偏移大的断裂情况,本文设计出窗口制约法和改进的 窗口制约法2 种不同的修复方法。实验结果表明,该方法使修复更加全面、完整,提高了伪特征点去除率,易于编程实 现,对细化指纹图像的断裂有很好的修复效果。(The broken ridge fingerprint image processing equipment, image enhancement and other causes will generate pseudo-feature points to be a negative impact on fingerprint identification. While combining the traditional method has the advantage, for the spacing, direction offset small spacing, direction offset large fracture situation, this design window constraints window method and the improved two kinds of constraints, different repair methods. Experimental results show the method to fix a more comprehensive and complete removal of pseudo-feature points, easy to program, well thinned fingerprint image fracture repair.)

说明：  Susan角点提取检测，进行图像处理，主要运用在数字水印特征提取方面(Susan,In the aspect of image feature extraction, watermark is mainly used for corner detection)

说明：  基于非下采样contourlet变换的多视点视频图像融合的MATLAB源码，可以成功运行(Nonsubsampled based multi-view video contourlet Transform MATLAB source image fusion can be run successfully)