第二部分主要講解做目標檢測時候,怎麼得取正負樣本以及如何對正負樣本進行篩選。
(1)自己寫個鼠標拉框手工割取樣本的軟件,採用OpenCV的鼠標相應控件很容易實現。
前面已經通過directShow實現了視頻採集和保存了,下面將用OpenCV實現一個手動拉框,自動保存ROI區域的工具來獲取樣本。
OpenCV裏面採用setMouseCallback(window_name,mouse_function,&mouse); 來回調mouse_function,其中mouse_function裏面通過CV_EVENT_LBUTTONDOWN等事件判斷相應不同的操作。比如以下代碼,可以在窗口畫框,這時候你只要將框CvRect座標保存,就可以實現cvSetImageROI截取區域咯:
#include <cv.h>
#include <highgui.h>
// Define our callback which we will install for
// mouse events.
//
void my_mouse_callback(
int event, int x, int y, int flags, void* param
);
CvRect box;
bool drawing_box = false;
// A litte subroutine to draw a box onto an image
//
void draw_box( IplImage* img, CvRect rect ) {
cvRectangle (
img,
cvPoint(box.x,box.y),
cvPoint(box.x+box.width,box.y+box.height),
cvScalar(0xff,0x00,0x00) /* red */
);
}
int main( int argc, char* argv[] ) {
box = cvRect(-1,-1,0,0);
IplImage* image = cvCreateImage(
cvSize(200,200),
IPL_DEPTH_8U,
3
);
cvZero( image );
IplImage* temp = cvCloneImage( image );
cvNamedWindow( "Box Example" );
// Here is the crucial moment that we actually install
// the callback. Note that we set the value ‘param’ to
// be the image we are working with so that the callback
// will have the image to edit.
//
cvSetMouseCallback(
"Box Example",
my_mouse_callback,
(void*) image
);
// The main program loop. Here we copy the working image
// to the ‘temp’ image, and if the user is drawing, then
// put the currently contemplated box onto that temp image.
// display the temp image, and wait 15ms for a keystroke,
// then repeat…
//
while( 1 ) {
cvCopyImage( image, temp );
if( drawing_box ) draw_box( temp, box );
cvShowImage( "Box Example", temp );
if( cvWaitKey( 15 )==27 ) break;
}
// Be tidy
//
cvReleaseImage( &image );
cvReleaseImage( &temp );
cvDestroyWindow( "Box Example" );
}
// This is our mouse callback. If the user
// presses the left button, we start a box.
// when the user releases that button, then we
// add the box to the current image. When the
// mouse is dragged (with the button down) we
// resize the box.
//
void my_mouse_callback(
int event, int x, int y, int flags, void* param )
{
IplImage* image = (IplImage*) param;
switch( event ) {
case CV_EVENT_MOUSEMOVE: {
if( drawing_box ) {
box.width = x-box.x;
box.height = y-box.y;
}
}
break;
case CV_EVENT_LBUTTONDOWN: {
drawing_box = true;
box = cvRect( x, y, 0, 0 );
}
break;
case CV_EVENT_LBUTTONUP: {
drawing_box = false;
if( box.width<0 ) {
box.x+=box.width;
box.width *=-1;
}
if( box.height<0 ) {
box.y+=box.height;
box.height*=-1;
}
draw_box( image, box );
}
break;
}
}
(2)或者通過灰度化,自適應二值化,ROI找輪廓,輪廓篩選,ROI輪廓分割,自動割取樣本;
(3)以及通過pictureRelate進行重複高樣本自動剔除等等篩選。
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http://blog.csdn.net/zhubenfulovepoem/article/details/12343219