opencv實現(xiàn)分水嶺復(fù)習(xí)進(jìn)程

1、Good is good, but better carries it.精益求精，善益求善。opencv實現(xiàn)分水嶺-usingSystem;usingSystem.Collections.Generic;usingSystem.ComponentModel;usingSystem.Data;usingSystem.Drawing;usingSystem.Linq;usingSystem.Text;usingSystem.Windows.Forms;usingSystem.Diagnostics;usingSystem.Runtime.InteropServices;usingEmgu.CV;u

2、singEmgu.CV.CvEnum;usingEmgu.CV.Structure;usingEmgu.CV.UI;namespaceImageProcessLearnpublicpartialclassFormImageSegment:Form/成員變量privatestringsourceImageFileName=wky_tms_2272x1704.jpg;/源圖像文件名privateImageimageSource=null;/源圖像privateImageimageSourceClone=null;/源圖像的克隆privateImageimageMarkers=null;/標(biāo)記圖像p

3、rivatedoublexScale=1d;/原始圖像與PictureBox在x軸方向上的縮放privatedoubleyScale=1d;/原始圖像與PictureBox在y軸方向上的縮放privatePointpreviousMouseLocation=newPoint(-1,-1);/上次繪制線條時，鼠標(biāo)所處的位置privateconstintLineWidth=5;/繪制線條的寬度privateintdrawCount=1;/用戶繪制的線條數(shù)目，用于指定線條的顏色publicFormImageSegment()InitializeComponent();/窗體加載時privatevoi

4、dFormImageSegment_Load(objectsender,EventArgse)/設(shè)置提示toolTip.SetToolTip(rbWatershed,可以在源圖像上用鼠標(biāo)繪制大致分割區(qū)域線條，該線條用于分水嶺算法);toolTip.SetToolTip(txtPSLevel,金字塔層數(shù)跟圖像尺寸有關(guān)，該值只能是圖像尺寸被2整除的次數(shù)，否則將得出錯誤結(jié)果);toolTip.SetToolTip(txtPSThreshold1,建立連接的錯誤閥值);toolTip.SetToolTip(txtPSThreshold2,分割簇的錯誤閥值);toolTip.SetToolTip(txt

5、PMSFSpatialRadius,空間窗的半徑);toolTip.SetToolTip(txtPMSFColorRadius,色彩窗的半徑);toolTip.SetToolTip(btnClearMarkers,清除繪制在源圖像上，用于分水嶺算法的大致分割區(qū)域線條);/加載圖像LoadImage();/當(dāng)窗體關(guān)閉時，釋放資源privatevoidFormImageSegment_FormClosing(objectsender,FormClosingEventArgse)if(imageSource!=null)imageSource.Dispose();if(imageSourceClon

6、e!=null)imageSourceClone.Dispose();if(imageMarkers!=null)imageMarkers.Dispose();/加載源圖像privatevoidbtnLoadImage_Click(objectsender,EventArgse)OpenFileDialogofd=newOpenFileDialog();ofd.CheckFileExists=true;ofd.DefaultExt=jpg;ofd.Filter=圖片文件|*.jpg;*.png;*.bmp|所有文件|*.*;if(ofd.ShowDialog(this)=DialogResul

7、t.OK)if(ofd.FileName!=)sourceImageFileName=ofd.FileName;LoadImage();ofd.Dispose();/清除分割線條privatevoidbtnClearMarkers_Click(objectsender,EventArgse)if(imageSourceClone!=null)imageSourceClone.Dispose();imageSourceClone=imageSource.Copy();pbSource.Image=imageSourceClone.Bitmap;imageMarkers.SetZero();dra

8、wCount=1;/當(dāng)鼠標(biāo)按下并在源圖像上移動時，在源圖像上繪制分割線條privatevoidpbSource_MouseMove(objectsender,MouseEventArgse)/如果按下了左鍵if(e.Button=MouseButtons.Left)if(previousMouseLocation.X=0&previousMouseLocation.Y=0)Pointp1=newPoint(int)(previousMouseLocation.X*xScale),(int)(previousMouseLocation.Y*yScale);Pointp2=newPoint(int

9、)(e.Location.X*xScale),(int)(e.Location.Y*yScale);LineSegment2Dls=newLineSegment2D(p1,p2);intthickness=(int)(LineWidth*xScale);imageSourceClone.Draw(ls,newBgr(255d,255d,255d),thickness);pbSource.Image=imageSourceClone.Bitmap;imageMarkers.Draw(ls,newGray(drawCount),thickness);previousMouseLocation=e.

10、Location;/當(dāng)松開鼠標(biāo)左鍵時，將繪圖的前一位置設(shè)置為（-1，-1）privatevoidpbSource_MouseUp(objectsender,MouseEventArgse)previousMouseLocation=newPoint(-1,-1);drawCount+;/加載源圖像privatevoidLoadImage()if(imageSource!=null)imageSource.Dispose();imageSource=newImage(sourceImageFileName);if(imageSourceClone!=null)imageSourceClone.D

11、ispose();imageSourceClone=imageSource.Copy();pbSource.Image=imageSourceClone.Bitmap;if(imageMarkers!=null)imageMarkers.Dispose();imageMarkers=newImage(imageSource.Size);imageMarkers.SetZero();xScale=1d*imageSource.Width/pbSource.Width;yScale=1d*imageSource.Height/pbSource.Height;drawCount=1;/分割圖像pri

12、vatevoidbtnImageSegment_Click(objectsender,EventArgse)if(rbWatershed.Checked)txtResult.Text+=Watershed();elseif(rbPrySegmentation.Checked)txtResult.Text+=PrySegmentation();elseif(rbPryMeanShiftFiltering.Checked)txtResult.Text+=PryMeanShiftFiltering();/分水嶺算法圖像分割/返回用時privatestringWatershed()/分水嶺算法分割I(lǐng)m

13、ageimageMarkers2=imageMarkers.Copy();Stopwatchsw=newStopwatch();sw.Start();CvInvoke.cvWatershed(imageSource.Ptr,imageMarkers2.Ptr);sw.Stop();/將分割的結(jié)果轉(zhuǎn)換到256級灰度圖像pbResult.Image=imageMarkers2.Bitmap;imageMarkers2.Dispose();returnstring.Format(分水嶺圖像分割，用時：0:F05毫秒。rn,sw.Elapsed.TotalMilliseconds);/金字塔分割算法/

14、privatestringPrySegmentation()/準(zhǔn)備參數(shù)ImageimageDest=newImage(imageSource.Size);MemStoragestorage=newMemStorage();IntPtrptrComp=IntPtr.Zero;intlevel=int.Parse(txtPSLevel.Text);doublethreshold1=double.Parse(txtPSThreshold1.Text);doublethreshold2=double.Parse(txtPSThreshold2.Text);/金字塔分割Stopwatchsw=newSt

15、opwatch();sw.Start();CvInvoke.cvPyrSegmentation(imageSource.Ptr,imageDest.Ptr,storage.Ptr,outptrComp,level,threshold1,threshold2);sw.Stop();/顯示結(jié)果pbResult.Image=imageDest.Bitmap;/釋放資源imageDest.Dispose();storage.Dispose();returnstring.Format(金字塔分割，用時：0:F05毫秒。rn,sw.Elapsed.TotalMilliseconds);/均值漂移分割算法/

16、privatestringPryMeanShiftFiltering()/準(zhǔn)備參數(shù)ImageimageDest=newImage(imageSource.Size);doublespatialRadius=double.Parse(txtPMSFSpatialRadius.Text);doublecolorRadius=double.Parse(txtPMSFColorRadius.Text);intmaxLevel=int.Parse(txtPMSFNaxLevel.Text);intmaxIter=int.Parse(txtPMSFMaxIter.Text);doubleepsilon=d

17、ouble.Parse(txtPMSFEpsilon.Text);MCvTermCriteriatermcrit=newMCvTermCriteria(maxIter,epsilon);/均值漂移分割Stopwatchsw=newStopwatch();sw.Start();OpenCvInvoke.cvPyrMeanShiftFiltering(imageSource.Ptr,imageDest.Ptr,spatialRadius,colorRadius,maxLevel,termcrit);sw.Stop();/顯示結(jié)果pbResult.Image=imageDest.Bitmap;/釋放

18、資源imageDest.Dispose();returnstring.Format(均值漂移分割，用時：0:F05毫秒。rn,sw.Elapsed.TotalMilliseconds);/當(dāng)改變金字塔分割的參數(shù)“金字塔層數(shù)”時，對參數(shù)進(jìn)行校驗/privatevoidtxtPSLevel_TextChanged(objectsender,EventArgse)intlevel=int.Parse(txtPSLevel.Text);if(level1|imageSource.Width%(int)(Math.Pow(2,level-1)!=0|imageSource.Height%(int)(Mat