private void extractFeatureButton_Click(object sender, EventArgs e)
{
trainingExtractSurfData = SURFMatch.CalSURFFeature(extractFeatureImage, new MCvSURFParams(500, false));
//繪製特徵
Image <Bgr, byte> result = Features2DToolbox.DrawKeypoints(trainingExtractSurfData.GetImg(), trainingExtractSurfData.GetKeyPoints(), new Bgr(255, 255, 255), Features2DToolbox.KeypointDrawType.DEFAULT);
//顯示
ImageViewer viewer = new ImageViewer(result, "Extracted Feature");
viewer.Show();
}
//////////////////////////////////////////////////////////////////////////////////////////////
#endregion
#region 商家看板辨識
//////////////////////////////////////////////////////////////////////////////////////////////
public static SURFMatchedData MatchSURFFeature(SURFFeatureData template, Image <Bgr, Byte> observedImg, bool isShowResult)
{
//縮放到一樣大小 (系統修改成可讀圖片時才能加入)
//observedImg = observedImg.Resize(3, INTER.CV_INTER_LINEAR);
SURFFeatureData observed = SURFMatch.CalSURFFeature(observedImg);
if (observed.GetDescriptors() != null)
{
SURFMatchedData matchedData = SURFMatch.MatchSURFFeatureByFLANNForObjs(template, observed);
if (matchedData != null && isShowResult)
{
SURFMatch.ShowSURFMatchForm(matchedData, observed, new ImageViewer());
}
return(matchedData);
}
else
{
return(null);
}
}
private void MatchImage(object obj)
{
Image <Bgr, byte> senceImg = (Image <Bgr, byte>)obj;
SURFFeatureData modelSurfData = ReadSURFFeature(dir.Parent.Parent.FullName + "\\SurfFeatureData\\000-0.xml");
if (modelSurfData != null)
{
long matchTime;
int pairCount;
SURFFeatureData senceSurfData = SURFMatch.CalSURFFeature(senceImage);
Image <Bgr, byte> result = SURFMatch.MatchSURFFeatureByBF(modelSurfData, senceSurfData, out matchTime, out pairCount);
Console.WriteLine("match time = " + matchTime.ToString() + "ms ,PairCount = " + pairCount.ToString());
if (result != null)
{
DelegateViewer del_MatchViewer = new DelegateViewer(UpdateSURFMatchViewer);
this.Invoke(del_MatchViewer, result);
// matchViewer.Image = result;
//matchViewer.Show();
//跨執行緒UI存取，使用委派處理...
}
}
}
/// <summary>
/// 計算特徵點(記得先把影像輸入到此類別中)
/// </summary>
/// <returns>回傳特徵資料</returns>
public SURFFeatureData CalSURFFeature()
{
return(SURFMatch.CalSURFFeature(templateImg));
}
//////////////////////////////////////////////////////////////////////////////////////////////
#endregion
#region 匹配特徵點
#region 物品辨識
//////////////////////////////////////////////////////////////////////////////////////////////
/// <summary>
/// 比配特徵,對所有檔案匹配並找出最好的匹配檔
/// </summary>
/// <param name="surfFiles">載入所有可能作為匹配的特徵資料</param>
/// <param name="observedImg">要比對觀察的影像</param>
/// <param name="isShowResult">是否要顯示出匹配結果</param>
/// <returns>回傳匹配到的相關資訊類別,String是檔案名稱,如果未匹配到,則Key與Values皆會回傳null,因此要先做檢查</returns>
public static KeyValuePair <string, SURFMatchedData> MatchSURFFeatureForGoods(List <string> surfFiles, Image <Bgr, Byte> observedImg, bool isShowResult)
{
Dictionary <string, SURFMatchedData> matchList = new Dictionary <string, SURFMatchedData>();
SURFFeatureData templateSURFData;
SURFMatchedData matchedData;
//縮放到一樣大小 (系統修改成可讀圖片時才能加入)
//observedImg = observedImg.Resize(3, INTER.CV_INTER_LINEAR);
//1.依序比對
SURFFeatureData observed = SURFMatch.CalSURFFeature(observedImg);
Console.WriteLine("### One-by-One Mathed Start.....\n============================");
foreach (string fileName in surfFiles)
{
templateSURFData = MatchRecognition.ReadSURFFeature(fileName);
Console.WriteLine("SurfData: fileName =>" + Path.GetFileName(fileName));
matchedData = SURFMatch.MatchSURFFeatureByBruteForceForGoods(templateSURFData, observed);
//如果Homography !=null 表示有匹配到(條件容忍與允許)
if (matchedData.GetHomography() != null)
{
matchList.Add(Path.GetFileName(fileName), matchedData);
}
Console.WriteLine("match num:" + matchedData.GetMatchedCount().ToString() + "\n-----------------");
}
//2.再找出count最大的
int bestMatched = -1;
string bestTemplateId = null; //樣板檔案名稱(Id)
if (matchList.Count != 0)
{
foreach (KeyValuePair <string, SURFMatchedData> matchedSURFData in matchList)
{
if (bestMatched == -1 && bestTemplateId == null)
{
bestMatched = matchedSURFData.Value.GetMatchedCount();
bestTemplateId = matchedSURFData.Key;
}
else
{
//開始找出最多匹配點的檔案名稱與匹配資訊
if (bestMatched < matchedSURFData.Value.GetMatchedCount())
{
bestMatched = matchedSURFData.Value.GetMatchedCount();
bestTemplateId = matchedSURFData.Key;
}
}
}
Console.WriteLine("\n**** Matched fileName=" + bestTemplateId + ", match num:" + bestMatched.ToString() + " ****");
if (isShowResult)
{
SURFMatch.ShowSURFMatchForm(matchList[bestTemplateId], observed, new ImageViewer());
}
Console.WriteLine("============================\n### Matched Finish.......\n");
//回傳匹配到的類別
return(new KeyValuePair <string, SURFMatchedData>(bestTemplateId, matchList[bestTemplateId]));
}
else
{
Console.WriteLine("\n**** No Matched fileName !");
Console.WriteLine("============================\n### Matched Finish.......\n");
return(new KeyValuePair <string, SURFMatchedData>(null, null));
}
}
////////////////////////////////////////////////////////////////////////////
#endregion
/// <summary>
/// 執行辨識
/// </summary>
/// <param name="isDrawResultToShowOnDialog">是否要顯示出辨識的結果</param>
/// <returns>回傳看板資訊, 格式=>"看板名稱" ;請記得做字串切割,若無比對到或有任何問題則會回傳null</returns>
public void RunRecognition(bool isDrawResultToShowOnDialog)
{
SURFMatchedData mathedObjectsData = null;
string matchedFileName = null;
Image <Bgr, byte> observedContourRectImg = null;
if (surfFiles.Count != 0 && histFiles.Count != 0)
{
Stopwatch watch = Stopwatch.StartNew();
////偵測物體
foreach (string histFilePath in histFiles)
{
//1.取出直方圖資料
DenseHistogram hist;
string histFilename = System.IO.Path.GetFileName(histFilePath);
if (!histDatas.ContainsKey(histFilename))
{
hist = DetectObjects.ReadHistogram(histFilePath, false);
histDatas.Add(histFilename, hist);
}
else
{
hist = histDatas[histFilename];
}
//2.取出SURF資料
string templateHistFileName = System.IO.Path.GetFileName(histFilePath); //取得路徑的檔案名稱
string templateSURFPathFileName = SystemToolBox.GetMappingDescriptorDataFile(templateHistFileName, dir);
SURFFeatureData templateSurf;
string surfFilename = System.IO.Path.GetFileName(templateSURFPathFileName);
if (!surfDatas.ContainsKey(surfFilename))
{
templateSurf = MatchRecognition.ReadSURFFeature(templateSURFPathFileName);
surfDatas.Add(surfFilename, templateSurf);
}
else
{
templateSurf = surfDatas[surfFilename];
}
//3.做偵測
using (Image <Gray, byte> backProjectImg = DetectObjects.DoBackProject(hist, observedImg))
using (Image <Gray, byte> binaryImg = DetectObjects.DoBinaryThreshold(backProjectImg, 200)) {
Image <Gray, byte> morphologyImg = DetectObjects.DoErode(binaryImg, 2);
morphologyImg = DetectObjects.DoDilate(morphologyImg, 1);
List <Contour <System.Drawing.Point> > topContours = DetectObjects.GetOrderMaxContours(morphologyImg);
//new ImageViewer(DetectObjects.DrawContoursTopThreeBoundingBoxOnImg(topContours, observedImg.Copy())).Show();
int i = 0;
double histMatchRate = 1;
int matchIndex = -1;
foreach (Contour <System.Drawing.Point> c in topContours)
{
if (i == 3)
{
break;
}
//判斷待偵測的輪廓面積是否過小，如果太小就省略
if (c.Area >= (templateSurf.GetImg().Width *templateSurf.GetImg().Height) * 0.4)
{
DenseHistogram observedRectHist;
observedContourRectImg = DetectObjects.GetBoundingBoxImage(c, observedImg.Copy());
double compareRate = DetectObjects.CompareHistogram(hist, observedContourRectImg, out observedRectHist);
if (compareRate < histMatchRate)
{
histMatchRate = compareRate;
matchIndex = i;
}
observedRectHist.Dispose();
}
i++;
}
if (histMatchRate < 0.5)
{
//影像正規化(如果觀察影像過大的話)
// if (observedContourRectImg != null && observedContourRectImg.Height * observedContourRectImg.Width > templateSurf.GetImg().Width * templateSurf.GetImg().Height)
//observedContourRectImg = observedContourRectImg.Resize(templateSurf.GetImg().Width, templateSurf.GetImg().Height, INTER.CV_INTER_LINEAR);
//取出特徵
if (obervedSurfData == null && observedContourRectImg != null)
{
obervedSurfData = SURFMatch.CalSURFFeature(observedContourRectImg);
observedContourRectImg.Dispose();
}
//匹配特徵並取回匹配到的特徵
SURFMatchedData mathedCandidateData = MatchRecognition.MatchSURFFeatureForVideoObjs(templateSurf, obervedSurfData, null);
//招出最好的特徵
if (mathedCandidateData != null && mathedCandidateData.GetHomography() != null)
{
if (mathedObjectsData == null)
{
mathedObjectsData = mathedCandidateData;
matchedFileName = templateSURFPathFileName;
}
else if (mathedCandidateData.GetMatchedCount() > mathedObjectsData.GetMatchedCount() && mathedCandidateData.GetHomography() != null)
{
mathedObjectsData = mathedCandidateData;
matchedFileName = templateSURFPathFileName;
}
}
}
morphologyImg.Dispose();
topContours.Clear();
if (mathedObjectsData != null && obervedSurfData != null)
{
SURFMatch.ShowSURFMatchForm(mathedObjectsData, obervedSurfData, viewer);
}
}
}
watch.Stop();
Console.WriteLine("File = " + System.IO.Path.GetFileName(matchedFileName) + " Video Analytics time = " + watch.ElapsedMilliseconds);
//if (matchedFileName != null)
//{
// string[] split = System.IO.Path.GetFileName(matchedFileName).Split('b');
// //voice.Speak("前方有" + split[0], SpeechVoiceSpeakFlags.SVSFlagsAsync);
//}
}
}