LANE-Detection-HOUGH-Transform

图像融合中pan图像和多光谱融合的四种方法（IHS PCA 小波 小波结合PCA）和融合效果的评价指标计算（信息熵、Q4等指标）(Image fusion of the pan and multi-spectral image with four methods (IHS PCA wavelet wavelet combined PCA) and fusion effect evaluation method)

本代码可以实现图像的维纳滤波，经过调试无错误，对于学习图像处理有较好帮助。(This code can achieve the image filtering, error-free through the debugging, better for learning image processing help.)

实现函数imdilate的膨胀效果，自己编写的matlab函数实现。(Imdilate realize the expansion of function effect, I have written matlab function.)

设计GUI界面，方便用户录制原始语音信号，加入噪声并选择滤波器滤除噪声。(Designed GUI interface, user-friendly recording of the original speech signal, adding noise and select a filter to filter out noise.)

本系统中VIS欠缺的SIFT_VC.lib文件。。。 http://www.pudn.com/downloads224/sourcecode/math/detail1055031.html(This is lib file, which is used in Video Intelligent System (VIS) based on the Microsoft Visual Studio 2008 compiler environment and OpenCV 2.0 library. It includes foreground detection, motion object detection, motion object tracking, trajectories generation and analysis modules. It realizes a friendly interface based on dialog, which provides a convenient example for new learners. keywords: opencv, mixture of gaussian model, sift feature and ransac method, mean shift, particle filter, kalman filter, object detection and tracking, video intelligent system.)

超像素分割图像，将彩色图像转化为CIELAB颜色空间和XY坐标下的5维特征向量，然后对5维特征向量构造距离度量标准，对图像像素进行局部聚类的过程(simple linear iterativeclustering)

基于自适应技术的遗传算法matlab源码，可应用于图像的去噪处理(based on adaptive technology GA Matlab source can be applied to the image denoising)

说明：  对图像进行纹理特征提取，有LBP，旋转不变lbp，统一lbp，小波特征提取等比较齐全的特征提取算法(Texture feature extraction of images, such as LBP, rotation invariant lbp, unified lbp, wavelet feature extraction and other relatively complete feature extraction algorithms)

红外图像的亚像素边缘检测，检测边缘，用于图像配准。(Infrared image of the sub-pixel edge detection, edge detection for image registration.)

用模糊集方法进行图像增强，先对源图像做模糊化，然后在模糊平面上进行变换，最后再反模糊化，从而达到模糊集图像增强的目的。(Image enhancement using fuzzy set method, the first source image blurring, and then transform the fuzzy plane, and finally anti-blurring, so as to achieve the purpose of the fuzzy set of image enhancement.)