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
www.eeworm.com/read/399930/7821521

m p0405.m

afm = imread('afmsurf.tif');figure, imshow(afm); se = strel('disk', 15); Itop = imtophat(afm, se); % 高帽变换 Ibot = imbothat(afm, se); % 低帽变换 figure, imshow(Itop, []); % 高帽变换,体现原始图像的灰度峰值 figure,
www.eeworm.com/read/399699/7840794

txt 新建 文本文档.txt

多用户 打开数据库 程序的退出 图像 http://go6.163.com/huangxiaoxie/giabo.htm GetLocalTime VB声明 Declare Sub GetLocalTime Lib "kernel32" Alias "GetLocalTime" (lpSystemTime As SYSTEMTIME) 说明 在l
www.eeworm.com/read/198116/7950399

m main.m

clear,close all; clc; %读入原始图像 global a; h1=figure; %h2=uicontrol(h1,'style','text','unit','normalized','horizontal','left',... % 'position',[0.85,0.01,0.3,0.99]);% 生成控制区域框[left
www.eeworm.com/read/397681/8029382

h table.h

#ifndef CLASS_TABLE #define CLASS_TABLE #include "Game.h" #include "FiveSocket.h" class CTable : public CWnd { CImageList m_iml; // 棋子图像 int m_color; // 玩家颜色 BOOL m_bWait; // 等
www.eeworm.com/read/243066/12966014

c 加载pcx格式文件.c

void CCh1_1View::OnCodeIRLE() { // 加载256色PCX文件 // 文件路径 CString strFilePath; // 创建Open对话框 CFileDialog dlg(TRUE, "PCX", NULL, OFN_HIDEREADONLY | OFN_OVERWRITEPROMPT, "PCX图像文件 (*.PC
www.eeworm.com/read/324902/13238644

m 3-10.m

%由peaks产生的数组绘图面对象 load clown %打开图像,以此作为面对象的色图 surface(peaks,flipud(X),... 'FaceColor','texturemap',... 'EdgeColor','none',... 'CDataMapping','direct') %ZData为49×49的矩阵,CD
www.eeworm.com/read/138097/13261810

htm ba58.htm

图像在图片框中的滚动
www.eeworm.com/read/136800/13359526

m p0405.m

afm = imread('afmsurf.tif');figure, imshow(afm); se = strel('disk', 15); Itop = imtophat(afm, se); % 高帽变换 Ibot = imbothat(afm, se); % 低帽变换 figure, imshow(Itop, []); % 高帽变换,体现原始图像的灰度峰值 figure,
www.eeworm.com/read/309693/13666288

h table.h

#ifndef CLASS_TABLE #define CLASS_TABLE #include "Game.h" #include "FiveSocket.h" class CTable : public CWnd { CImageList m_iml; // 棋子图像 int m_color; // 玩家颜色 BOOL m_bWait; // 等
www.eeworm.com/read/307077/13731793

m ch10_1_1.m

%利用函数imfilter实现图像平滑滤波 I = imread('coins.png'); h = ones(5,5) / 25; I2 = imfilter(I,h); imshow(I), title('Original Image'); figure, imshow(I2), title('Filtered Image')