代码搜索:MATLAB LMD

找到约 10,000 项符合「MATLAB LMD」的源代码

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m example8_8.m

%这里有一幅图像,如图8-27所示,其动态范围较小,而且较暗,反映在直方图上,见图8-28, %就是其%直方图所占据的灰度值范围比较窄,而且集中在低灰度值一边。为了使图像更清晰,我们采用直方图 %均衡化的方法来增加图像灰度动态范围,增强对比度。在<mark>MATLAB</mark>中,可以直接调用J=histeq (I,n) %函数来完成这项工作,其中I是原始图像矩阵,J是变换后所得的图像矩阵;用户可以指定均衡化 ...
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m example12_1.m

t = 0:0.1:20; %绘制函数曲线,生成一个图形Figure plot(t,t.*sin(t)) get(gcf, 'Color') %gcf函数返回当前Figure的句柄,get得到当前Figure的颜色属性 ans =0.8000 0.8000 0.8000 %MATLAB中的所有颜色以RGB的形式存储,[1,1,1]是白色,[0,0,0]是黑色 %此时,可以用
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dep base.dep

# Microsoft Developer Studio Generated Dependency File, included by base.mak .\base.cpp : \ "..\..\..\..\..\matlab6p1\extern\include\engine.h"\ "..\..\..\..\..\matlab6p1\extern\include\matrix.h
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m exa8_7.m

I=imread('212.jpg'); Imshow(I); Colorbar figure load mri %此图像已经存在于MATLAB工作路径中 Imshow(D(:,:,:,7)) figure montage(D,map) figure mov=immovie(D,map); colormap(map) movie(mov)
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bat lccengmatopts.bat

@echo off rem LCCENGMATOPTS.BAT rem rem Compile and link options used for building standalone engine or MAT programs rem with LCC C compiler 2.4 rem rem $Revision: 1.5.4.1 $ $Date: 200
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c findnz.c

/*================================================================= * findnz.c * Example for illustrating how to handle N-dimensional arrays in a * MEX-file. NOTE: MATLAB uses 1 based indexin
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htm ch1_3.htm

认识你/你的电脑工作环境
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htm ch2_7_1.htm

如何在自己的目录执行程式
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htm ch2_2_1.htm

MATLAB 的视窗环境
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htm ch2_1.htm

什么是MATLAB