在图像分割中，利用Hough变换进行直线提取的matlab源程序。提取方法不同于一般的边缘检测算法。...

图像处理，学习matlab的源代码，转自国外-image processing, study the source code of Matlab, decanted from abroad

一个很有用的数字图象HOUGH变换的源代码-very useful in a digital image HOUGH transform source code

采用Visual c++ 进行图像处理，已经经过检测，非常实用，本源码主要是代码转换-for image processing, have been tested, the very practical, The source code is a major change

em算法原理，帮助你理解EM算法，EM算法是 自然语言理解中的经典重要的算法，基本上是 学习自然语言理解的基础-EM algorithm, help you to understand the thereom of EM

本程序为图像处理的程序集。 对于学习图像初学者很有用，非常好！-This procedure for the image processing assembly. For beginners to learn the image was very useful, very good!

非常有名的SIFT变换程序，实现了多级变换检测！-A very well-known SIFT conversion process to achieve a multi-stage transformation test!

计算机图形学的编程实践，包括画直线、反走样直线、画圆、 画椭圆、画矩形、画多边形、矩形填充、多边形填充、3D变换、光照、贴图等-computer graphics programming practice, including painting line, anti-aliasing straight Circle, painted oval, rectangular painting, drawing polygon, rectangle filling, polygon filling, 3D transformation, lighting, textures, etc.

很好关于的hough变换的代码,适合初学者了解其原理,需要的可以看看.-Very good on the hough transform code, suitable for beginners to understand its principles, in need can have a look at.

非常好的图形图象处理程序，具有很多滤镜和图象处理方法，功能强大。-Very good graphics image processing procedures, a lot of filters and image processing methods and powerful.

Tracking a moving object through several frames, provided changes from frame to frame are on the order of +-(10 + "X Range") pixels in the X direction and +-(10 + "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.-Tracking a moving object through several frames, provided changes from frame to frame are on the order of+-(10+ "X Range") pixels in the X direction and+-(10+ "Y Range") in the Y direction is done automatically because of a relatively large area of exploration during the search for an optimal (new) position for a particular control point and a very strong force exerted by large values of the image gradient.