OpenCv识别多条形码

这其实是一个小工程

完成的功能：

• 使用摄像头采集图像进行预处理（检测部分）

• 提取出预处理的条形码图像（识别部分）

• 将条形码进行存入数据库（存储部分）

首先接到这个图像识别的小工程需要先确定这个工程的最初输入，和最后输出，输入就是普通的RGB图像，输出是数据库文件。

其中需要完成的过程，就是我需要做得功能，检测部分、识别部分和存储部分，话不多说，上部分代码：

//检测部分  需要用到opencv开源计算机视觉库
//输入是RGB  输出是保存的检测部分


Mat Check(Mat image)
{

    vector<vector<Point>> contours;
	vector<Vec4i> hiera;
	imshow("原图", image);

	//原图像大小调整，提高运算效率  
	//resize(image, image, Size(500, 300));
	//imshow("原图像", image); waitKey(15);		system("pause");



	//转化为灰度图  
	cvtColor(image, imageGray, CV_RGB2GRAY);
	//imshow("灰度图", imageGray); waitKey(15);		system("pause");

	//高斯平滑滤波  
	GaussianBlur(imageGray, imageGuussian, Size(3, 3), 0);
	//imshow("高斯平衡滤波", imageGuussian); waitKey(15);		system("pause");

	//求得水平和垂直方向灰度图像的梯度差,使用Sobel算子  
	Mat imageX16S, imageY16S;
	Sobel(imageGuussian, imageX16S, CV_16S, 1, 0, 3, 1, 0, 4);
	Sobel(imageGuussian, imageY16S, CV_16S, 0, 1, 3, 1, 0, 4);
	convertScaleAbs(imageX16S, imageSobelX, 1, 0);
	convertScaleAbs(imageY16S, imageSobelY, 1, 0);
	imageSobelOut = imageSobelX - imageSobelY;
	//imshow("X方向梯度", imageSobelX); waitKey(15);		system("pause");
	//imshow("Y方向梯度", imageSobelY); waitKey(15);		system("pause");
	//imshow("XY方向梯度差", imageSobelOut); waitKey(15);		system("pause");

	//均值滤波，消除高频噪声  
	blur(imageSobelOut, imageSobelOut, Size(3, 3));
	//imshow("均值滤波", imageSobelOut); waitKey(15);		system("pause");

	//二值化  
	Mat imageSobleOutThreshold;
	threshold(imageSobelOut, imageSobleOutThreshold, 100, 255, CV_THRESH_BINARY);
	//imshow("二值化", imageSobleOutThreshold); waitKey(15);		system("pause");

	//闭运算，填充条形码间隙  
	Mat  element = getStructuringElement(1, Size(9, 9));
	morphologyEx(imageSobleOutThreshold, imageSobleOutThreshold, MORPH_CLOSE, element);
	//imshow("闭运算", imageSobleOutThreshold); waitKey(15);		system("pause");

	//腐蚀，去除孤立的点  
	erode(imageSobleOutThreshold, imageSobleOutThreshold, element);
	//imshow("腐蚀", imageSobleOutThreshold); waitKey(15);		system("pause");

	//膨胀，填充条形码间空隙，根据核的大小，有可能需要2~3次膨胀操作  
	dilate(imageSobleOutThreshold, imageSobleOutThreshold, element);
	dilate(imageSobleOutThreshold, imageSobleOutThreshold, element);
	dilate(imageSobleOutThreshold, imageSobleOutThreshold, element);
	//dilate(imageSobleOutThreshold, imageSobleOutThreshold, element);
	//dilate(imageSobleOutThreshold, imageSobleOutThreshold, element);
	//dilate(imageSobleOutThreshold, imageSobleOutThreshold, element);
	//imshow("膨胀", imageSobleOutThreshold); waitKey(30);		system("pause");

	return imageSobleOutThreshold;
}


int main(int argc, char *argv[])
{
    ...;
    //测试用
	//image = imread("1.jpg");
	//定义两个容器去存放矩形区域
	vector<vector<Point>> contours;
	vector<Vec4i> hiera;
	imshow("原图", image);
	findContours(Check(image), contours, hiera, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
    for (int i = 0; i < contours.size(); i++)
	{
		Rect rect = boundingRect((Mat)contours[i]);
		rectangle(image, rect, Scalar(255), 2);
		Mat ROI = image(rect);
		sprintf(filenameIfZbar, "G:\\using\\text\\vs\\work\\zbar\\if1weima\\%d.jpg", i);
		//imshow(filename, rect);
		imwrite(filenameIfZbar, ROI);
		//imshow("ROI",image); waitKey(30);		system("pause");
		waitKey(1000); // 等待按下esc键，若需要延时1s则改用waitKey(1000);  

        ...;
	}
    ...;
}

检测效果图，已经存入图像图： 

 

识别部分输入是保存的检测为条形码区域图像，输出是二维码图像，部分代码：

int main(int argc, char *argv[])
{
    ...;
    for (int i = 0; i < contours.size(); i++)
	{ 
        ...;
		temp = image;


		cvtColor(temp, imageGray, CV_RGB2GRAY);
		//imshow("灰度图", imageGray);
		// 获取所摄取图像的长和宽  
		int width = imageGray.cols;
		int height = imageGray.rows;
		// 在Zbar中进行扫描时候，需要将OpenCV中的Mat类型转换为（uchar *）类型，raw中存放的是图像的地址；对应的图像需要转成Zbar中对应的图像zbar::Image  
		uchar *raw = (uchar *)imageGray.data;
		Image imageZbar(width, height, "Y800", raw, width * height);
		// 扫描相应的图像imageZbar(imageZbar是zbar::Image类型，存储着读入的图像)  
		scanner.scan(imageZbar); //扫描条码      
		Image::SymbolIterator symbol = imageZbar.symbol_begin();
		if (imageZbar.symbol_begin() == imageZbar.symbol_end())
		{
			cout << "查询条码失败，请检查图片！" << endl;
			//system(delFile);
			continue;
		}
		for (; symbol != imageZbar.symbol_end(); ++symbol)
		{
			string type, data;
			type = symbol->get_type_name();
			data = symbol->get_data();
			cout << "类型：" << endl << type << endl << endl;
			cout << "条码：" << endl << data << endl << endl;
			sprintf(filenameIsZbar, "G:\\using\\text\\vs\\work\\zbar\\is1weima\\_%s_%s.jpg", type.c_str(), data.c_str());
			//imshow(filename, rect);
			imwrite(filenameIsZbar, ROI);
            ...;
		}
		waitKey(1000); // 等待按下esc键，若需要延时1s则改用waitKey(1000);  
	}
    ...;
}

效果图：

 

识别完成的图像进行存储，部分代码+效果图：

int main(int argc, char *argv[])
{
    ...;
    for (int i = 0; i < contours.size(); i++)
	{ 
        ...;
		for (; symbol != imageZbar.symbol_end(); ++symbol)
		{
            ...;
            //表data写入数据
			sprintf(filedir, "..\\is1weima\\_%s_%s.jpg", type.c_str(), data.c_str());
			sprintf(csql_table1, "INSERT INTO [zbar].[dbo].[data]([type],[data],[imag]) VALUES('%s','%s','%s')", type.c_str(), data.c_str(), filedir);
			Sql = csql_table1;
			try{
				_RecordsetPtr pRst(__uuidof(Recordset)); //实例化一个Recordset对象pRst
				_CommandPtr pCmd(__uuidof(Command)); //实例化一个Command对象pCmd
				pCmd->put_ActiveConnection(_variant_t((IDispatch*)pConnection));
				pCmd->CommandText = (_bstr_t)Sql;
				pRst = pCmd->Execute(NULL, NULL, adCmdText);
				cout << "添加成功！" << endl;
				pRst.Release();
				pCmd.Release();
			}
			catch (_com_error e) {
				cout << e.ErrorMessage() << endl;
				cout << "添加失败！" << endl;
			}
			//表num写入数据
			try {
				sprintf(csql_table2, "select count(%s) [data] from [zbar].[dbo].[data]group by [data]", data.c_str());
				Sql = csql_table2;
				//_variant_t value;
				_RecordsetPtr pRst(__uuidof(Recordset)); //实例化一个Recordset对象pRst
				_CommandPtr pCmd(__uuidof(Command)); //实例化一个Command对象pCmd
				pCmd->put_ActiveConnection(_variant_t((IDispatch*)pConnection));
				pCmd->CommandText = (_bstr_t)Sql;
				pRst = pCmd->Execute(NULL, NULL, adCmdText);
				int valueline = pRst->GetCollect("data");
				//update [zbar].[dbo].[data] set [data]='12456'where [imag]='..\is1weima\_EAN-13_4589732812540.jpg  
				cout << "查询成功！" << endl;
				sprintf(csql_table3, "update [zbar].[dbo].[num] set [num]='%d'where [data]='%s'", valueline, data.c_str());
				Sql = csql_table3;
				pCmd->put_ActiveConnection(_variant_t((IDispatch*)pConnection));
				pCmd->CommandText = (_bstr_t)Sql;
				pRst = pCmd->Execute(NULL, NULL, adCmdText);
				cout << "修改成功！" << endl;
				pRst.Release();
				pCmd.Release();
			}
			catch (_com_error e) {
				//cout << e.ErrorMessage() << endl;
				//cout << "修改失败！" << endl;
				sprintf(csql_table1, "INSERT INTO [zbar].[dbo].[num]([type],[data],[num]) VALUES('%s','%s','%d')", type.c_str(), data.c_str(), 1);
				Sql = csql_table1;
				_RecordsetPtr pRstR(__uuidof(Recordset)); //实例化一个Recordset对象pRst
				_CommandPtr pCmdR(__uuidof(Command)); //实例化一个Command对象pCmd
				pCmdR->put_ActiveConnection(_variant_t((IDispatch*)pConnection));
				pCmdR->CommandText = (_bstr_t)Sql;
				pRstR = pCmdR->Execute(NULL, NULL, adCmdText);
				cout << "添加成功！" << endl;
				pRstR.Release();
				pCmdR.Release();
			}
		}
		waitKey(1000); // 等待按下esc键，若需要延时1s则改用waitKey(1000);  
	}
    ...;
}