文章目錄

• 前言
• 一、基于相關(guān)性的模板匹配
• 二、基于相關(guān)性的模板匹配的代碼實(shí)現(xiàn)
• • 1.Halcon中完成基于相關(guān)性的模板匹配
  • 2.MFC實(shí)現(xiàn)與Halcon混合編程
  • 3.實(shí)現(xiàn)效果

---

前言

正在學(xué)習(xí)Halcon的例程的基于相關(guān)性的模板匹配。花了點(diǎn)時(shí)間做了一個(gè)簡單的demo。

首先簡單記錄一下什么是基于相關(guān)性的模板匹配：

---

一、基于相關(guān)性的模板匹配

歸一化相關(guān)性.NCC，(normalization cross-correlation)，顧名思義，就是用于歸一化待匹配目標(biāo)之間的相關(guān)程度，注意這里比較的是原始像素。通過在待匹配像素位置p（px，py）構(gòu)建3*3鄰域匹配窗口，與目標(biāo)像素位置p’(px+d,py）同樣構(gòu)建鄰域匹配窗口的方式建立目標(biāo)函數(shù)來對(duì)匹配窗口進(jìn)行度量相關(guān)性。它是基于圖像灰度信息的匹配方法。

NCC的定義

在[-1,1]絕對(duì)尺度范圍之間衡量兩者的相似性。相關(guān)系數(shù)刻畫了兩者之間的近似程度的線性描述。一般說來，越接近于1，兩者越近似的有線性關(guān)系。

二、基于相關(guān)性的模板匹配的代碼實(shí)現(xiàn)

1.Halcon中完成基于相關(guān)性的模板匹配

在Halcon軟件中，按住Ctrl+E的快捷鍵，打開Halcon中關(guān)于模板匹配的例程，如下圖所示：

利用USB攝像頭，任意選取一物體作為我的模板，參考Halcon例程實(shí)現(xiàn)代碼如下：

* Image Acquisition 01: Code generated by Image Acquisition 01 open_framegrabber ('DirectShow', 1, 1, 0, 0, 0, 0, 'default', 8, 'gray', -1, 'false', 'default', '[0] ', 0, -1, AcqHandle) grab_image_start (AcqHandle, -1) grab_image_async (Image, AcqHandle, -1) /異步抓圖gen_rectangle2 (ROI_0, 251.392, 498.324, rad(-95.6182), 128.183, 64.3729)*利用ROI選取模板area_center (ROI_0, Area, RowRef, ColumnRef) reduce_domain (Image, ROI_0, ImageReduced) dev_set_draw ('margin') dev_display (Image)Rows := [] Cols := []create_ncc_model (ImageReduced, 'auto', -0.39, 0.79, 'auto', 'use_polarity', ModelID) while (true)grab_image_async (Image, AcqHandle, -1)* Image Acquisition 01: Do somethingfind_ncc_model (Image, ModelID, 0, 360, 0.5, 1, 0.5, 'true', 0, Row, Column, Angle, Score)if(|Score| > 0) *vector_angle_to_rigid (Row, Column, rad(49.8188), Row, Column, Angle, HomMat2D)*affine_trans_region (ROI_0, RegionAffineTrans, HomMat2D, 'nearest_neighbor')Rows := [Rows,Row]Cols := [Cols,Column]dev_display (Image)dev_display_ncc_matching_results (ModelID, 'green', Row, Column, Angle, 0)dev_display (Image)endif endwhile close_framegrabber (AcqHandle)

將以上Halcon代碼導(dǎo)出為C++文件，部分代碼如下：

using namespace HalconCpp;// Procedure declarations // Chapter: Matching / Correlation-Based // Short Description: Display the results of Correlation-Based Matching. void dev_display_ncc_matching_results (HTuple hv_ModelID, HTuple hv_Color, HTuple hv_Row, HTuple hv_Column, HTuple hv_Angle, HTuple hv_Model);//函數(shù)聲明// Procedures // Chapter: Matching / Correlation-Based // Short Description: Display the results of Correlation-Based Matching. void dev_display_ncc_matching_results (HTuple hv_ModelID, HTuple hv_Color, HTuple hv_Row, HTuple hv_Column, HTuple hv_Angle, HTuple hv_Model)//函數(shù)定義 {// Local iconic variablesHObject ho_ModelRegion, ho_ModelContours, ho_ContoursAffinTrans;HObject ho_Cross;// Local control variablesHTuple hv_NumMatches, hv_Index, hv_Match, hv_HomMat2DIdentity;HTuple hv_HomMat2DRotate, hv_HomMat2DTranslate, hv_RowTrans;HTuple hv_ColTrans;//This procedure displays the results of Correlation-Based Matching.//hv_NumMatches = hv_Row.TupleLength();if (0 != (hv_NumMatches>0)){if (0 != ((hv_Model.TupleLength())==0)){TupleGenConst(hv_NumMatches, 0, &hv_Model);}else if (0 != ((hv_Model.TupleLength())==1)){TupleGenConst(hv_NumMatches, hv_Model, &hv_Model);}{HTuple end_val9 = (hv_ModelID.TupleLength())-1;HTuple step_val9 = 1;for (hv_Index=0; hv_Index.Continue(end_val9, step_val9); hv_Index += step_val9){GetNccModelRegion(&ho_ModelRegion, HTuple(hv_ModelID[hv_Index]));GenContourRegionXld(ho_ModelRegion, &ho_ModelContours, "border_holes");if (HDevWindowStack::IsOpen())SetColor(HDevWindowStack::GetActive(),HTuple(hv_Color[hv_Index%(hv_Color.TupleLength())]));{HTuple end_val13 = hv_NumMatches-1;HTuple step_val13 = 1;for (hv_Match=0; hv_Match.Continue(end_val13, step_val13); hv_Match += step_val13){if (0 != (hv_Index==HTuple(hv_Model[hv_Match]))){HomMat2dIdentity(&hv_HomMat2DIdentity);HomMat2dRotate(hv_HomMat2DIdentity, HTuple(hv_Angle[hv_Match]), 0, 0, &hv_HomMat2DRotate);HomMat2dTranslate(hv_HomMat2DRotate, HTuple(hv_Row[hv_Match]), HTuple(hv_Column[hv_Match]), &hv_HomMat2DTranslate);AffineTransContourXld(ho_ModelContours, &ho_ContoursAffinTrans, hv_HomMat2DTranslate);if (HDevWindowStack::IsOpen())DispObj(ho_ContoursAffinTrans, HDevWindowStack::GetActive());AffineTransPixel(hv_HomMat2DTranslate, 0, 0, &hv_RowTrans, &hv_ColTrans);GenCrossContourXld(&ho_Cross, hv_RowTrans, hv_ColTrans, 6, HTuple(hv_Angle[hv_Match]));if (HDevWindowStack::IsOpen())DispObj(ho_Cross, HDevWindowStack::GetActive());}}}}}}return; }void action() {// Local iconic variablesHObject ho_Image, ho_ROI_0, ho_ImageReduced;// Local control variablesHTuple hv_AcqHandle, hv_Area, hv_RowRef, hv_ColumnRef;HTuple hv_Rows, hv_Cols, hv_ModelID, hv_Row, hv_Column;HTuple hv_Angle, hv_Score;//Image Acquisition 01: Code generated by Image Acquisition 01OpenFramegrabber("DirectShow", 1, 1, 0, 0, 0, 0, "default", 8, "gray", -1, "false", "default", "[0] ", 0, -1, &hv_AcqHandle);GrabImageStart(hv_AcqHandle, -1);GrabImageAsync(&ho_Image, hv_AcqHandle, -1);GenRectangle2(&ho_ROI_0, 378.959, 523.422, HTuple(86.7433).TupleRad(), 147.265, 69.2766);//此處對(duì)應(yīng)的選取即為Halcon中選取的模板AreaCenter(ho_ROI_0, &hv_Area, &hv_RowRef, &hv_ColumnRef);ReduceDomain(ho_Image, ho_ROI_0, &ho_ImageReduced);if (HDevWindowStack::IsOpen())SetDraw(HDevWindowStack::GetActive(),"margin");if (HDevWindowStack::IsOpen())DispObj(ho_Image, HDevWindowStack::GetActive());hv_Rows = HTuple();hv_Cols = HTuple();CreateNccModel(ho_ImageReduced, "auto", -0.39, 0.79, "auto", "use_polarity", &hv_ModelID);while (0 != 1){GrabImageAsync(&ho_Image, hv_AcqHandle, -1);//Image Acquisition 01: Do somethingFindNccModel(ho_Image, hv_ModelID, 0, 360, 0.5, 1, 0.5, "true", 0, &hv_Row, &hv_Column, &hv_Angle, &hv_Score);if (0 != ((hv_Score.TupleLength())>0)){hv_Rows = hv_Rows.TupleConcat(hv_Row);hv_Cols = hv_Cols.TupleConcat(hv_Column);if (HDevWindowStack::IsOpen())DispObj(ho_Image, HDevWindowStack::GetActive());dev_display_ncc_matching_results(hv_ModelID, "green", hv_Row, hv_Column, hv_Angle, 0);if (HDevWindowStack::IsOpen())DispObj(ho_Image, HDevWindowStack::GetActive());//dev_display (RegionAffineTrans)}}CloseFramegrabber(hv_AcqHandle);}

2.MFC實(shí)現(xiàn)與Halcon混合編程

在Visual Studio 2015中運(yùn)用C++運(yùn)用HAlcon需要配置Halcon環(huán)境，如何配置環(huán)境可參考：
Halcon與MFC的混合編程–VC++環(huán)境配置
“https://blog.csdn.net/qq_40896597/article/details/109703054?spm=1001.2014.3001.5502”

配置好環(huán)境之后，新建MFC項(xiàng)目，界面編輯如下：

“采集并建立模板” 的事件和運(yùn)行 “模板匹配” 的部分代碼如下：

//建立模板 void CModel_MatchDlg::OnBnClickedBtnSetModel() {// TODO: 在此添加控件通知處理程序代碼HTuple hv_Width1;HTuple hv_Height1; //選取的模板圖片尺寸//Image Acquisition 01: Code generated by Image Acquisition 01OpenFramegrabber("DirectShow", 1, 1, 0, 0, 0, 0, "default", 8, "gray", -1, "false","default", "[0] ", 0, -1, &hv_AcqHandle);GrabImageStart(hv_AcqHandle, -1);//while (true)GrabImageAsync(&ho_Image, hv_AcqHandle, -1);//這里是在Halcon中選定的模板具體信息。需要修改GenRectangle2(&ho_ROI_0, 420.672, 464.5, HTuple(-81.1412).TupleRad(), 103.896,51.3797);AreaCenter(ho_ROI_0, &hv_Area, &hv_Row, &hv_Column);ReduceDomain(ho_Image, ho_ROI_0, &ho_ImageReduced);GrabImageAsync(&ho_Image, hv_AcqHandle, -1);GetImageSize(ho_ImageReduced, &hv_Width1, &hv_Height1);SetPart(m_HWindowID2, 0, 0, hv_Height1, hv_Width1);DispObj(ho_ImageReduced, m_HWindowID2);if (HDevWindowStack::IsOpen())SetDraw(HDevWindowStack::GetActive(), "margin");if (HDevWindowStack::IsOpen())DispObj(ho_ImageReduced, HDevWindowStack::GetActive());hv_Rows = HTuple();hv_Cols = HTuple();//創(chuàng)建模板CreateNccModel(ho_ImageReduced, "auto", -0.39, 0.79, "auto", "use_polarity",&hv_ModelID);CloseFramegrabber(hv_AcqHandle);}

部分識(shí)別模板的代碼如下：

//識(shí)別模板 if (pDlg->ModelMatch){FindNccModel(pDlg->ho_Image, pDlg->hv_ModelID, 0, 360, 0.5, 1, 0.5, "true", 0, &pDlg->hv_Row, &pDlg->hv_Column,&pDlg->hv_Angle, &pDlg->hv_Score);if (0 != ((pDlg->hv_Score.TupleLength())>0)){pDlg->hv_Rows = pDlg->hv_Rows.TupleConcat(pDlg->hv_Row);pDlg->hv_Cols = pDlg->hv_Cols.TupleConcat(pDlg->hv_Column);if (HDevWindowStack::IsOpen())DispObj(pDlg->ho_Image, HDevWindowStack::GetActive());pDlg->dev_display_ncc_matching_results(pDlg->hv_ModelID, "green", pDlg->hv_Row, pDlg->hv_Column, pDlg->hv_Angle,0);if (HDevWindowStack::IsOpen())DispObj(pDlg->ho_Image, HDevWindowStack::GetActive()); }}

3.實(shí)現(xiàn)效果

MFC與Halcon的混合編程之基于相關(guān)性的模板匹配

具體效果視頻請(qǐng)見：https://www.bilibili.com/video/BV1Di4y1N7RD/

源代碼傳送地址：https://download.csdn.net/download/qq_40896597/15728138

總結(jié)

以上是生活随笔為你收集整理的MFC与Halcon混合编程--基于相关性的模板匹配的全部內(nèi)容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網(wǎng)站內(nèi)容還不錯(cuò)，歡迎將生活随笔推薦給好友。