Zedboardwebcam设计问题篇（三）-OpenCV+QT配置显示图片

首先，我们需要OpenCV的编译安装，由于我是参照《嵌入式系统软硬件协同设计实战指南》做的，编译安装和移植过程不再介绍，这里推荐一个：http://blog.csdn.net/noodies/article/details/5798434

不过这篇文章用的平台和我不一样，过程差不多。就是交叉编译工具不一样，我用的是arm-xilinx-linux-的交叉编译工具。

使用如下命令编译你的程序，这条命令挺长，不过很好理解，-I后面分别时头文件位置，-L后面是库文件位置，以及列出的用到的库文件

arm-xilinx-linux-gnueabi-g++ -I/home/jiong/cmake/include/opencv -I/home/jiong/cmake/include -L/home/jiong/cmake/lib -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann ./face_detection_arm.c -o ./edge_detection_arm.o

对face_detection_arm.c进行了编译测试，生成edge_detection_arm.o，并在Zedboard上运行：./edge_detection_arm.o ./lena.bmp ./lenatest.bmp

#include "cv.h"

#include "highgui.h"

IplImage* doCanny(
   IplImage* in,
   double lowThresh,
   double highThresh,
   double aperture)

{

   if(in->nChannels!=1)

   return(0);

   IplImage* out = cvCreateImage(

           cvGetSize(in),

           in->depth,

           1);

   cvCanny(in,out,lowThresh,highThresh,aperture);

   return(out);

};

int main(int argc, char** argv)

{

   IplImage* img_rgb = cvLoadImage(argv[1]);

   IplImage* img_gry = cvCreateImage(cvSize(img_rgb->width,img_rgb->height),img_rgb->depth,1);

   cvCvtColor(img_rgb,img_gry,CV_BGR2GRAY);

   IplImage* img_cny = doCanny(img_gry,10,100,3);

   if(cvSaveImage(argv[2],img_cny,0)!=0)

   printf("Save Image Successful\n");

   cvReleaseImage(&img_rgb);

   cvReleaseImage(&img_gry);

   cvReleaseImage(&img_cny);

   return 0;

}

结果如下：

这是一个边缘检测的例子。

下面主要着重实现基于OpenCV的视频采集和显示

http://www.cnblogs.com/s_agapo/archive/2011/11/24/2262346.html，我事先查找了资料，

由于之前已经分别交叉编译安装过OpenCV和Qt了，现在就直接进行OpenCV和Qt结合的配置

还是参考上面的博客，在我编译安装的qt下找到qmake.conf，我的路径是：/usr/local/Trolltech/QtEmbedded-4.8.0-arm/mkspecs/qws/linux-arm-gnueabi-g++

里面找到qmake.conf，因为我的QT的project都是用/usr/local/Trolltech/QtEmbedded-4.8.0-arm/bin文件下的qmake来编译的。

编辑该文件：

QMAKE_INCDIR = /home/jiong/cmake/include/opencv
QMAKE_LIBS = -lopencv_core -lopencv_imgproc -lopencv_highgui -lopencv_ml -lopencv_video -lopencv_features2d -lopencv_calib3d -lopencv_objdetect -lopencv_contrib -lopencv_legacy -lopencv_flann
INCLUDEPATH += /home/jiong/cmake/include/opencv
LIBS += /home/jiong/cmake/lib/libopencv_core.so \
/home/jiong/cmake/lib/libopencv_imgproc.so \
/home/jiong/cmake/lib/libopencv_highgui.so \
/home/jiong/cmake/lib/libopencv_ml.so \
/home/jiong/cmake/lib/libopencv_video.so \
/home/jiong/cmake/lib/libopencv_features2d.so \
/home/jiong/cmake/lib/libopencv_calib3d.so \
/home/jiong/cmake/lib/libopencv_objdetect.so \
/home/jiong/cmake/lib/libopencv_contrib.so \
/home/jiong/cmake/lib/libopencv_legacy.so \
/home/jiong/cmake/lib/libopencv_flann.so \
一步一步来吧，先来实现图片显示