FLch6eg1

舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理舌头图像处理(Image processing image processing tongue tongue tongue tongue image processing image processing image processing tongue tongue image processing)

老外写的图像分割matlab代码，内有详细的说明(Foreigner to write matlab code for image segmentation, which is described in detail)

根据厄米高斯光束的振幅分布物理公式来画厄米高斯光束的强度分布图(plot the intensity distribution of the HermiteGaussian Beams based on the physical formulars of the Hermite-Gaussian Beams )

说明：  相当的经典啊 是基于matlab的 大家做图像匹配的都可以用的到,做三维重建方面的。(Rather is based on the classic ah matlab we do the image matching can be used for that, so three-dimensional reconstruction.)

通过自定义数学运算，在图像处理中做直方图均衡化的matlab实现(Through custom mathematical operation, do the histogram equalization of matlab in image processing)

1.设计一个程序，对一幅灰度图像的实现如下几何变换,1)放大为原图1.5倍 2)绕中心旋转30度(CW) 3)采用偏移量插值实现一个透视变换. 灰度差值用最近邻插值和双线性插值 2. 绘制一幅灰度图像的梯度幅度图像（三点法求梯度），针对梯度幅度图像合理的选择一个阈值（通过试验即可）将其二值化，以获得图像边缘检测图像。 ((1) design a program, a grayscale image as geometric transformation, zoom 1) for 1.5 times the original 2) around the center of rotation of 30 degrees (CW) 3) interpolation of the offset to achieve a perspective transformation.gray level difference between the nearest neighbor interpolation and bilinear interpolation (2) draw a grayscale image of the gradient magnitude image (three-point method seeking gradient), the gradient magnitude image is reasonable to select a threshold value (the test can be) the second value to the image edge detection image.)

压缩包中的算法使用moment matching和MLE估计矩阵的广义高斯分布参数，推荐一下。(Compression package using the moment matching algorithms and the estimated matrix of MLE parameters of generalized Gaussian distribution, recommend.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ROMP算法，对256*256的lena图处理，比较原图和ROMP算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and ROMP algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using ROMP algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

使用forstner算子进行图像特征点提取(forstner for feature extraction)

基于颜色来检测火焰，将是频频分帧，然后逐帧检测，碧昂切将火焰全画出来，基础编程。(Based on color to test the flame, basic programming )