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基于sift的图像拼接算法，使用matlab实现(Sift-based image mosaic algorithm implementation using matlab)

说明：  Kirsch算子边缘检测代码，计算了八个方向的梯度值(Kirsch operator edge detection code)

线性插值射线追踪法，设置模型为一三层模型，范围100m×100m(Linear interpolation ray tracing method, set the model for a three-tier model, the range 100m100m)

本程序可以实现对图像的中值滤波，从而除去图像中的某些干扰(This procedure can be achieved on the image median filter, thereby removing some of the interference image)

高精度亚像素全局运动估计的上采样梯度互相关算法(Precision subpixel global motion estimation on sampling the gradient of cross-correlation algorithm)

1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。 2.基于Gabor变换的人眼检测MATLAB实现。 3.基于Radon的车牌矫正方法。 4.基于模型函数headata产生不同大小的头模型数据。 5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)

压缩传感，MATLAB，信号重建，正交匹配追踪，打破乃奎斯特定理(Compressed sensing, MATLAB, signal reconstruction, orthogonal matching pursuit, breaking the Nyquist Theorem)

Graphics PresentationsMandelbrot Set Function,

图像去噪，采用GUI界面形式，里面包括高斯滤波，低通滤波和理想滤波三种方法。(Image denoising, using GUI interface form, which includes Gaussian filtering, low-pass filtering and ideal filtering three methods.)

图着色问题（Graph Coloring Problem, GCP）又称着色问题，是最著名的NP-完全问题之一。路线着色问题是图论中最著名的猜想之一。(Graph coloring problem (Graph Coloring Problem, GCP), also known as coloring problem, is the most famous NP-complete problems. Line graph coloring problem is one of the most famous conjecture.)