摄像头棋盘标定（源代码）

最新推荐文章于 2022-08-07 23:50:26 发布

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最新推荐文章于 2022-08-07 23:50:26 发布 · 950 阅读

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#opencv #图像处理

本文详细介绍了如何利用OpenCV库进行摄像头的棋盘格标定过程，包括步骤和源代码示例，旨在提升图像处理中的相机校准精度。

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#include <stdio.h>
#include <stdlib.h>
#include <string.h>
// OpenCV
#include <cxcore.h>
#include <cv.h>
#include <highgui.h>
#include <cvaux.h>
void InitCorners3D(CvMat *Corners3D, CvSize ChessBoardSize, int Nimages, float SquareSize);
void makeChessBoard();
int myFindChessboardCorners( const void* image, CvSize pattern_size,
CvPoint2D32f* corners, int* corner_count=NULL,
int flags=CV_CALIB_CB_ADAPTIVE_THRESH );

inline int drawCorssMark(IplImage *dst,CvPoint pt)
/*************************************************
Function: main_loop
Description: 绘制一个十字标记
Calls:
Called By:
Input: RGB image, pt
Output:
Return:
Others: 需要检查坐标是否越界 to do list
*************************************************/
{
const int cross_len = 4;
CvPoint pt1,pt2,pt3,pt4;
pt1.x = pt.x;
pt1.y = pt.y - cross_len;
pt2.x = pt.x;
pt2.y = pt.y + cross_len;
pt3.x = pt.x - cross_len;
pt3.y = pt.y;
pt4.x = pt.x + cross_len;
pt4.y = pt.y;
cvLine(dst,pt1,pt2,CV_RGB(0,255,0),2,CV_AA, 0 );
cvLine(dst,pt3,pt4,CV_RGB(0,255,0),2,CV_AA, 0 );
return 0;
}
/* declarations for OpenCV */
IplImage *current_frame_rgb,grid;
IplImage *current_frame_gray;
IplImage *chessBoard_Img;
int Thresholdness = 120;
int image_width = 640;
int image_height = 480;
bool verbose = false;
const int ChessBoardSize_w = 7;
const int ChessBoardSize_h = 7;
// Calibration stuff
bool calibration_done = false;
const CvSize ChessBoardSize = cvSize(ChessBoardSize_w,ChessBoardSize_h);
//float SquareWidth = 21.6f; //实际距离毫米单位在A4纸上为两厘米
float SquareWidth = 24; //投影实际距离毫米单位 (我量的实际尺寸为24mm每个方格)
const int NPoints = ChessBoardSize_w*ChessBoardSize_h;
const int NImages = 20; //Number of images to collect