matlab使用摄像头

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我是靠谱客的博主幸福帽子，最近开发中收集的这篇文章主要介绍matlab使用摄像头，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

1.整个过程需要做如下几件事情：
1)查询USB2.0Camera 的具体参数(imaqhwinfo)
2)创建视频输入对象(videoinput)
3)图像预览和显示(preview、stoppreview、closepreview和image)
4)获取视频图像(getsnapshot)
5)图像获取设备的获取和设置(get和set)
6)关闭视频对象(delete)
2.图像获取工具箱术语：
  图像获取设备：比如摄像头、扫描仪
  图像获取适配器：主要的目的是通过驱动在Matlab和图像获取设备之间传递信息
     ROI：region-of-interest 感兴趣区域
3.常用函数
1)getselectedsource
2)imaqfind
3)isvalid
4)peekdata
5)getdata
6)imaqmontage
4.查询USB2.0Camera 的具体参数(imaqhwinfo)
>> info=imaqhwinfo
info =
    InstalledAdaptors: {'coreco'  'winvideo'}
        MATLABVersion: '7.10(R2010a)'
          ToolboxName: 'Image Acquisition Toolbox'
       ToolboxVersion: '3.5(R2010a)'

>> win_info=imaqhwinfo('winvideo')
win_info =
    AdaptorDllName:'D:Program FilesMATLABR2010Atooboximaqadaptorswin32mwwinvideoimaq.dll'
   AdaptorDllVersion: '3.5 (R2010a)'
          AdaptorName: 'winvideo'
            DeviceIDs: {[1]}
           DeviceInfo: [1x1 struct]
> win_info.DeviceIDs
ans =
    [1]
>> dev_win_info=win_info.DeviceInfo
dev_win_info =
          DefaultFormat: 'YUV2_160x120'
        DeviceFileSupported: 0
             DeviceName: 'USB 口 口 口 口'
               DeviceID: 1
      ObjectConstructor: 'videoinput('winvideo', 1)'
    SupportedFormats: {'YUV2_160x120' 'YUV2_176x144' 'YUV2_320x240' 'YUV2_352x288' 'YUV2_640x480'}
>> dev_win_info.SupportedFormats
ans='YUV2_160x120' 'YUV2_176x144' 'YUV2_320x240' 'YUV2_352x288' 'YUV2_640x480'
5.视频预览、采集和保存
(1)创建视频输入对象 obj = videoinput(adaptorname,deviceID,format)
    adaptorname：适配器名称，首次可以使用不带参数的imaqhwinfo函数获取
    deviceID：设备ID号，首次可以通过imaqhwinfo函数获取 
    format：视频采集格式，可以通过DeviceInfo的SupportedFormats获取，不填写则使用默认格式
>> obj = videoinput('winvideo',1,'YUV2_640x480')
Summary of Video Input Object Using 'USB 口口口口'.
   Acquisition Source(s):  input1 is available.
  Acquisition Parameters:  'input1' is the current selected source.
                           10 frames per trigger using the selected source.
                           'YUV2_640x480'video data to be logged upon START.
                           Grabbing first of every 1 frame(s).
                           Log data to 'memory' on trigger.
      Trigger Parameters:  1 'immediate' trigger(s) on START.
                  Status:  Waiting for START.
                           0 frames acquired since starting.
                           0 frames available for GETDATA.
(2)打开视频预览窗口 himage=preview(obj,himage)
    obj：视频采集对象
    himage：视频预览窗口对应的句柄，也就是说在指定的句柄对象中预览视频，该参数可以空缺。至于预览窗口的关闭和停止可以使用colsepreview和stoppreview函数。下述代码可以产生预览：
   vidRes = get(obj, 'VideoResolution');
   nBands = get(obj, 'NumberOfBands');
   figure()%指定预览窗体显示的figure
   axes()%指定预览窗口显示的坐标系
    hImage = image( zeros(vidRes(2), vidRes(1), nBands) );
    preview(obj, hImage);
(3)图像捕捉、显示和保存
  frame = getsnapshot(obj);
  imshow(frame);
  imwrite(fame,'snap.jpg','jpg');
  注：frame是H×W×B的矩阵。H图像高度，由ROIPosition指定；w图像宽度，由ROIPosition指定；B索线个数，由NumberOfBands指定
（4）最简单采集实验,输入如下代码，可以得到预览下的默认格式的摄像头捕捉窗口
obj=videoinput('winvideo',1);
preview(obj);
（5）输入如下代码可返回视频信息
vidobj = videoinput('winvideo',1,'YUY2_640x480');
sources = vidobj.Source;
whos sources
set(vidobj,'SelectedSourceName','input1');
sources
selectedsrc = getselectedsource(vidobj);
get(selectedsrc);
delete(vidobj);
clear vidobj;
返回信息
Name          Size                    Bytes Class
sources       1x1                       726 videosource object
Grand total is 30 elements using 726 bytes
Display Summary for Video Source Object:
Index:   SourceName:   Selected:
1        'input1'      'on'
General Settings:
Parent = [1x1 videoinput]
Selected = on
SourceName = input1Tag =
Type = videosource
Device Specific Properties:
BacklightCompensation = on
Brightness = -16
Contrast = 120
FrameRate = 30.0000
Gamma = 60
Hue = 0
Saturation = 40
Sharpness = 3
（6）输入如下代码
clc;
clf;
clear all;
imaqmem(30000000);               %申请内存空间
�APTOR:MATLAB与视频设备之间的接口，主要的目的是传递信息

vid = videoinput('winvideo', 1, 'YUY2_640x480');
preview(vid);
start(vid);
h=figure('NumberTitle','off','Name','视频',...
    'MenuBar','none','color','c',...
    'Position', [0, 0, 1, 1], 'Visible', 'on');         %新建窗口
set(h,'doublebuffer','on','outerposition',get(0,'screensize'));
h1=axes('Position', [0.02, 0.1, 0.4, 0.8],'Parent',h); %新建显示窗口
hold on;
axis off;
while ishandle(h)     %判断是否有效的图像对象句柄
    a=getsnapshot (vid);     % 捕获图像
    flushdata(vid);     %清除数据获取引擎的所有数据、置属性SamplesAvailable为0
    imshow(a);                   %显示图像
    drawnow;                     % 实时更新图像
end;
delete(vid);