对matlab程序实现苏珊角点检测算法

线段及直线的基本运算 1. 点与线段的关系2. 求点到线段所在直线垂线的垂足3. 点到线段的最近点4. 点到线段所在直线的距离 5. 点到折线集的最近距离 6. 判断圆是否在多边形内7. 求矢量夹角余弦 8. 求线段之间的夹角9. 判断线段是否相交10.判断线段是否相交但不交在端点处11.求线段所在直线的方程 12.求直线的斜率 13.求直线的倾斜角14.求点关于某直线的对称点15.判断两条直线是否相交及求直线交点 16.判断线段是否相交，如果相交返回交点-straight line segment and a basic computing. Point and the line between the two. Seeking to point straight vertical line segment where the Pedal 3. Line points to the recent four points. Point to the straight line distance from the host 5. Set point to the recently broken away from six. To judge whether the circular polygon 7. for vector cosine angle 8. for the angle between the line 9. Line judge whether the intersection 10. Line judge whether the intersection but do not pay the endpoint Office 11. for the straight line segment where equation 12. for a linear slope 13. seeking straight tilt angle 14. Points on a linear symmetrical points 15. to judge whether the intersection of two straight and for 16 straight intersection. Line judge whether the intersectio

在计算机视觉中首先一步是计算每个摄像机的参数(外参和内参)，这是重建物体所必须的，这一个过程称为摄像机定标(camera calibration)。这是我自己写的一个简单的采用3维模板(模板是由黑白相间的格子组成，格子大小30cm×30cm，模板必须是三维，否则矩阵奇异)定标的程序，交互性比较好，每个角点通过鼠标点击自动获取。-Computer Vision in the first step is to calculate the parameters of each camera (outside the Senate and internal), which is necessary for the reconstruction of objects, which a process known as camera calibration (camera calibration). This is what I wrote it myself using a simple 3-dimensional template (template is composed of black-and-white lattice, lattice size of 30cm ?30cm, the template must be three-dimensional, or matrix singular) calibration procedures, better interactivity, each Corner automatic access through mouse clicks.

图像处理论述，包括各个方面，主要涉及图形的处理，滤波等方面，值得一看-On image processing, including all aspects, mainly related to graphics processing, filtering, etc., see

通过采样比较对人的鼻子进行识别，C++源代码-Through the sample compared to the human nose to identify, C++ Source code

模糊聚类工具箱，使用该工具箱可以对多提取的特征进行类型的判别-Fuzzy Clustering Toolbox, the use of the toolbox can extract the characteristics of many types of discrimination

实现各种基础的图象处理功能，例如傅里叶变换，图像滤波，平滑锐化，直方图-based on the realization of various image processing functions, such as Fourier transform, image filtering, smoothing sharpening, histogram

利用Hough变换检测抛物线的算法。利用标准Hough变换从二值（黑白）图像中检测抛物线。-The use of parabolic Hough transform detection algorithms. Standard Hough transform from the binary (black and white) image in the detection of a parabola.

1.了解离散傅立叶变换及离散余弦变换的基本原理； 2.掌握进行FFT及逆变换的方法； 3.了解图像在频域中处理方法，应用MATLAB语言作简单的低通滤波器。 -1. Understand the discrete Fourier transform and discrete cosine transform the basic principle; 2. master for FFT and inverse transform; 3. understanding of image processing in the frequency domain method, MATLAB language for simple low-pass filter.

This paper is to solve the image segmentation problem: given an image, we seek to detect the shape of the objects in it.