MatlabMie

超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)

基于视频的车道线检测,首先对视频进行一系列预处理，然后进行边缘检测，霍夫变换直线检测，最后对检测出来的直线进行非车道线排除。(Video-based lane detection, the first of a series of video preprocessing, edge detection and Hough transform line detection, finally detected non-linear lane excluded.)

三维图像重建,采用多种滤波方法，实现三维图像重建，该算法效率比较高。目前已经应用到实际工程。(3-dim picture recreat,use filter method and project method to realise the recreating of 3 dim picture.it is a very effective method ,applied in the project.so I share it with you . )

特征提取，主要是灰度共生矩阵和不变矩特征提取的程序，openCV下可直接运行(Feature extraction, mainly GLCM and invariant moments feature extraction procedures can be run directly under openCV)

一种基于纹理特征分析的遥感图像分类C++程序(Based on the analysis of texture characteristics of remote sensing image classification C++ program)

这个事关于Computer Graphics （计算机图形学）的教学代码！！！(The thing about Computer Graphics (computer graphics) teaching the code! ! !)

本代码是描述图像融合的一个综合性代码，其中包括对图像变换提升等一系列试验方案(The code is described in an integrated image fusion of code, including the transformation of images, such as a series of pilot programs to enhance)

光线跟踪算法，能显示基本图形（球形，立方体，墙面），实现阴影，高光，反射，折射等效果(Ray tracing algorithm, can display basic graphics (sphere, cube, wall), to achieve shadows, light, reflection, refraction and other effects)

在对话框中实现splitter(achieve splitter)

使用vs2012+opencv2.4.5做的人脸检测代码，可以实现对静态图像上人脸的检测(Use vs2012+ opencv2.4.5 do face detection code, you can achieve detection of static images of the human face)