AoiEyemTemplateMethod.cs
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using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Drawing2D;
using System.Linq;
using System.Runtime.InteropServices;
using System.Text;
using System.Threading.Tasks;
using OpenCvSharp;
using OpenCvSharp.Blob;
using OpenCvSharp.XFeatures2D;
using static AOI.Eyemlib;
namespace AOI
{
/// <summary>
/// 模板匹配
/// </summary>
public class AoiEyemTemplateMethod : AoiMethod
{
/// <summary>
/// 相似度百分比
/// </summary>
public double SamePercent = 80;
public double AnglePercent = 180;
public override ResultBean Check(Image standardImage, Image imageToCheck)
{
ResultBean resultBean = new ResultBean(MethodName,4,SamePercent,SamePercent);
bool needCut = true;
Image standardRoiImg = GetRoiImage(standardImage, needCut);
resultBean.standardRoiImage = standardRoiImg;
double percent, angle;
(percent,angle) = GetTemplateMatchPercent(standardImage, imageToCheck, out Image cutImg);
bool result = false;
if(SamePercent > 100)
{
SamePercent = 100;
}
if(percent >= SamePercent && angle<=AnglePercent)
{
result = true;
}
resultBean.currentRoiImage = cutImg;
resultBean.result = result;
resultBean.percentValue =Math.Round( percent,3);
resultBean.checkData = angle;
return resultBean;
}
/// <summary>
/// 获取模板相似度
/// </summary>
/// <param name="standardImage"></param>
/// <param name="imageToCheck"></param>
/// <param name="cutImg"></param>
/// <returns></returns>
public (double,double) GetTemplateMatchPercent(Image standardImage, Image imageToCheck, out Image cutImg)
{
var template = Eyemlib.eyemCvtToEyemImage((Bitmap)standardImage);
var search = Eyemlib.eyemCvtToEyemImage((Bitmap)imageToCheck);
int iNumMatches = 15;//目标个数
double dToleranceAngle = 0.0;//要检测目标容忍角度
double dMaxOverlap = 0.0;//重叠比例
double dScore = 0.8;//最小分数
cutImg = null;
//模板匹配
EyemTargetMatch[] tpResults = new EyemTargetMatch[iNumMatches];
IntPtr ResultHandle = Marshal.AllocHGlobal(Marshal.SizeOf(typeof(EyemTargetMatch)) * tpResults.Length);
if (RoiPath==null)
return (0d, 0d);
var rect = RoiPath.GetBounds();
if (rect== RectangleF.Empty)
return (0d, 0d);
rect.X -= CenterOffsetX;
rect.Y -= CenterOffsetY;
//框选模板匹配位置（通常左上角位置选一块）
EyemRect tpRoiTemplate = new EyemRect();
tpRoiTemplate.iXs = (int)(rect.X);
tpRoiTemplate.iYs = (int)(rect.Y);
tpRoiTemplate.iWidth = (int)rect.Width;
tpRoiTemplate.iHeight = (int)rect.Height;
//var search = eyemCvtToEyemImage((Bitmap)imageToCheck);
Eyemlib.eyemCopyRegion(search, tpRoiTemplate, out Eyemlib.EyemImage templ);
if(templ.iWidth==0)
return (0, 0);
cutImg = eyemCvtToBitmap(templ);
//可以用来调试查看图像
//Eyemlib.eyemNamedWindow("templ");
//Eyemlib.eyemImshow("templ", templ);
//Eyemlib.eyemWaitkey();
//Eyemlib.eyemImshow("templ", template);
//Eyemlib.eyemWaitkey();
Eyemlib.eyemMakeNCCModel(templ, 256);
//额外用法包括确定电容正负极，比如模板为0方向，搜寻到目标角度|angle|>45°判断极性错误等等
var flag = Eyemlib.eyemFindNCCModel(template, dToleranceAngle, iNumMatches, dMaxOverlap, dScore, true, ResultHandle, out EyemImage tpDstImg);
if (flag != 0)
return (0,0);
eyemImageFree(ref templ);
eyemImageFree(ref template);
eyemImageFree(ref search);
tpResults = Eyemlib.eyemIntPtr2StructArray<EyemTargetMatch>(ResultHandle, tpResults.Length).ToArray();
int matchscore = 0;
double anglescore = 0;
//检测到目标
for (int i = 0; i < tpResults.Length; i++)
{
if (tpResults[i].fMatchScore > 0 && rect.Contains(tpResults[i].fCenterX, tpResults[i].fCenterY))
{
matchscore = (int)(tpResults[i].fMatchScore*100);
anglescore = Math.Abs(tpResults[i].fMatchAngle);
Console.WriteLine(string.Format("目标{0}，位置({1},{2})，匹配分数{3}",
i, tpResults[i].fCenterX.ToString("F3"), tpResults[i].fCenterY.ToString("F3"), tpResults[i].fMatchScore.ToString("F3")));
}
}
if (matchscore == 0) {
Bitmap bitmap = Eyemlib.eyemCvtToBitmap(tpDstImg);
bitmap.Save("\\match.png");
}
eyemImageFree(ref tpDstImg);
Marshal.FreeHGlobal(ResultHandle);
return (matchscore,anglescore);
}
}
}