Matlab_learning_materials

  主要包括图像的中值、均值去噪、非局部均值、分块局部去噪算法；还有均方误差和峰值信噪比评价、以及matlab基础学习资料如边缘检测、小波变化、灰度值转换等(Including image median, mean denoising, non-local means, block local denoising algorithm also mean square error and peak signal to noise ratio evaluation, and matlab based learning materials such as edge detection, wavelet transform, gray scale value conversion wait)

新建文件夹
..........\absdiff.m,188,2013-09-17
..........\add.m,140,2013-09-17
..........\addnoise.m,1051,2013-09-17
..........\adjust.m,420,2013-09-17
..........\bianyuanjianche.m,555,2013-09-17
..........\crop.m,245,2013-09-17
..........\dct.m,421,2013-09-17
..........\divide.m,196,2013-09-17
..........\fftshift_fft2.m,578,2013-09-17
..........\imhist1.m,587,2013-09-17
..........\implicitmesh.m,640,2013-09-19
..........\lizi.m,601,2013-09-19
..........\lvbo.m,2638,2013-09-17
..........\midfilt.m,455,2013-09-21
..........\midpoint.m,236,2013-09-21
..........\multiply.m,137,2013-09-17
..........\NL.m,437,2013-09-21
..........\NLmeansfilter.m,2249,2013-09-19
..........\nlmlvbo.m,284,2013-09-19
..........\resize.m,510,2013-09-17
..........\rgb2gray_hd.m,106,2013-09-17
..........\sd.m,345,2013-09-21
..........\shipincaiji.m,1987,2013-09-17
..........\subtract.m,97,2013-09-17
..........\分块局部去噪算法
..........\................\onlypeppers0903_1_5_3.m,7655,2013-09-21
..........\均方误差和峰值信噪比
..........\....................\mse.m,394,2013-09-17
..........\....................\mse_psnr.m,2025,2013-09-18
..........\....................\psnr.m,454,2013-09-17
..........\非局部均值去噪
..........\..............\NLmeansfilter2.m,1350,2013-09-21
..........\高斯核建立的两种方法
..........\....................\make_Gausskernel.m,152,2013-09-21
..........\....................\make_kernel.m,307,2013-09-19