代码搜索:图像捕捉

找到约 10,000 项符合「图像捕捉」的源代码

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www.eeworm.com/read/306494/13743614

dfm unit1.dfm

object Form1: TForm1 Left = 279 Top = 193 Width = 432 Height = 335 Caption = '在多媒体文件中批量抓取图像' Color = clBtnFace Font.Charset = GB2312_CHARSET Font.Color = clWindowText Font.H
www.eeworm.com/read/420856/6277064

desktop showimg.desktop

[Desktop Entry] Comment=An Image Viewer Exec=showimg MimeType=image/* Icon=ImageViewer Type=Application Name=Image Viewer Name[ja]=イメージビューワ Name[de]=Bildbetrachter Name[hu]=Nézõke Name[zh_CN]=图像浏览
www.eeworm.com/read/489172/6474492

m wavemarksvd2.m

%这也是一个生成水印的函数,不完整,仅供其他函数调用 function [watermarkimagergb,watermarkimage,waterCA,watermark2,correlationU,correlationV]=wavemarksvd2(input,goal,seed,wavelet,level,alpha,ratio) %读取原始图像 data=imread(input
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zao1

kk=imread('ziji5.jpg'); X=rgb2gray(kk); figure; init=2055615866 ; rand('seed',init) ; X=double(X) ; x=X+40*randn(size(X)); subplot(222); imshow(x,[]); title('含噪声图像'); axis square; [c,s]=wav
www.eeworm.com/read/480149/6677788

m sumarize11_4_1f.m

figure(1); load imdemos saturn2; %显示图像 imshow(saturn2); figure(2); %进行傅立叶变换 B = fftshift(fft2(saturn2)); %显示变换后的系数分布 imshow(log(abs(B)),[]),colormap(jet(64)),colorbar;
www.eeworm.com/read/478046/6718670

h vf_thin.h

#ifndef __VFTHIN_H__ #define __VFTHIN_H__ #include "VF_Type.h" #include "VF_Global.h" #include "VF_Function.h" // // imageThin: 图像细化处理 // sint32 imageThin(uint8 *lpBits, sint32 Width, sint
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h vf_fileio.h

#ifndef __VFFILEIO_H__ #define __VFFILEIO_H__ #include "VF_Type.h" #include "VF_Global.h" // // loadBitmap: 从BMP文件中读取图像数据 // sint32 loadBitmap(sint8 *lpszFileName, uint8 *lpBitmap, sint32 *
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m s069.m

% 图像四则运箅 s069 I69=imread('3.jpg'); I690=imread('4.jpg'); I691=imadd(immultiply(I69,2),imdivide(I690,0.3)); imshow(I691)
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m s070.m

% 灰度图像添加高斯噪声 s070 I70=imread('3.jpg'); I700=rgb2gray(I70); I701=imnoise(I700,'salt & pepper',0.05); imshow(I701)
www.eeworm.com/read/409142/11345010

m sumarize11_4_1f.m

figure(1); load imdemos saturn2; %显示图像 imshow(saturn2); figure(2); %进行傅立叶变换 B = fftshift(fft2(saturn2)); %显示变换后的系数分布 imshow(log(abs(B)),[]),colormap(jet(64)),colorbar;