代码搜索结果

颜色演示 body { background-color: blue } h1 {color: #FFFF33;} h2 {color: rgb(255,0,0);} p { color: white; }

object Form1: TForm1 Left = 221 Top = 140 Width = 384 Height = 258 Caption = #33719#21462#25351#23450#28857#30340'RGB'#20540 Color = clBtnFace Font.Charset = DEFAULT_CHARSET Fo

object Form1: TForm1 Left = 221 Top = 140 Width = 544 Height = 375 Caption = #33719#21462#25351#23450#28857#30340'RGB'#20540 Color = clBtnFace Font.Charset = DEFAULT_CHARSET Fo

function gammafunc_main in=imread('02.tif'); im=rgb2gray(in); g=2; newim=adjgamma(im, g); figure,imshow(im);title('原始图像');axis on; figure,imshow(newim);title('变换图像');axis on;

function contrastfunc_main in=imread('212.bmp'); im=rgb2gray(in); gain=3; cutoff=0.5; newim=adjcontrast(im, gain, cutoff); figure,imshow(im);title('原始图像');axis on; figure,imshow(newim);title('变

% function contour denoise & enhance %%% Cdenoise gaussian 仅仅是C分解、重构滤波，采用阈值而已。 %%%%%%%%%%%%%%%%%%%%contourlet去噪 add noise and denoise clc clear all a=imread('barbara.png'); % aa=rgb2gray(a

function image_out = susan(im,threshold) close all clc % check to see if the image is a color image... d = length(size(im)); if d==3 image=double(rgb2gray(im)); elseif d==2 image=doubl

 trafficObj = mmreader('traffic.avi') % 视频文件目录为\MATLABR2008a\toolbox\images\imdemos Video Parameters: 15.00 frames per second, RGB24 160x120. 120 total video frames availab

文字颜色

%the process is to read an image %and then to make it into vetors function v=example8Im2Vec(in) b=imread(in); b=rgb2gray(b); p=double(b); [L,W]=size(p); v=reshape(p,L*W,1);