代码搜索:图像捕捉

找到约 10,000 项符合「图像捕捉」的源代码

代码结果 10,000
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txt 代码23-8.txt

I = imread('liftingbody.png'); % 读入图像 S = qtdecomp(I,.27); % 四叉树分解 blocks = repmat(uint8(0),size(S)); % 块 for dim = [512 256 128 64 32 16 8
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txt 代码23-2.txt

f=imread('peppers.png'); % 读入图像 f=rgb2gray(f); % 灰度转换 f=im2double(f); % 数据类型转换 % 使用垂直Sobel算子,自动选择阈值
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cpp freqcalculate.cpp

// ************************************************************************ // 文件名:FreqCalculate.cpp // // 图像正交变换函数库: // // FFT() - 一维快速付立叶变换 // IFFT() - 一维快速付立叶逆变换 // Fourier() - 二
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cs form1.cs

using System; using System.Drawing; using System.Collections; using System.ComponentModel; using System.Windows.Forms; using System.Data; namespace Example026_图像的特效显示 { /// ///
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m test.m

% FWT_DB.M; % 此示意程序用DWT实现二维小波变换 %%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%% clear;clc; T=256; % 图像维数 SUB_T=T/2; % 子图维数 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%
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m yj10.m

load woman %调用MATLAB中Woman图像灰度值 figure(1); %画图 warning('off','MATLAB:dispatcher:InexactMatch'); aa=imread('44.jpg'); X=rgb2gray(aa); X=double(X); image(
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m example76_eigenvector.m

%%%example_figure %%%%imread the image samples figure('name','实验图像的特征提取','numbertitle','off'); %to look the primary components of the first sample %and to see the target curve y=W*b0; i=1:5;
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java serialimage.java

// 程序:连续图像绘制 // 范例文件:SerialImage.java import java.awt.*; import java.applet.*; import java.awt.image.*; public class SerialImage extends Applet implements Runnable { int AppletW
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m untitled.m

clear; %读入图象 imgSrc=imread('02.bmp'); [imSrcH,imSrcW]=size(imgSrc); subplot(2,2,1); %画出原图像 imshow(imgSrc(10:imSrcH-10,5:imSrcW-5)); %剪
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ini zm460.ini

[Config] PicTypeR=1 Com=0 BaudRate1=3 BaudRate2=1 Check=1 DataBit=1 StopBit=1 TopBottom=0 SavPath=F:\资料\图像\ZM460\ Skin=1 PicTypeO=1