using System;using System.Collections.Generic;using https://www.360docs.net/doc/9d279024.html,ponentModel;using System.Data;using System.Drawing;using System.Linq;using System.Text;using System.Windows.Forms;using System.Diagnostics;using System.Runtime.InteropServices;using Emgu.CV;using Emgu.CV.CvEnum;using Emgu.CV.Structure;using Emgu.CV.UI;namespace ImageProcessLearn{ public partial class FormImageSegment : Form { //成员变量 private string sourceImageFileName = "wky_tms_2272x1704.jpg";//源图像文件名 private Image imageSource = null; //源图像 private Image imageSourceClone = null; //源图像的克隆 private Image imageMarkers = null; //标记图像 private double xScale = 1d; //原始图像与PictureBox在x轴方向上的缩放 private double yScale = 1d; //原始图像与PictureBox在y轴方向上的缩放 private Point previousMouseLocation = new Point(-1, -1); //上次绘制线条时，鼠标所处的位置 private const int LineWidth = 5; //绘制线条的宽度 private int drawCount = 1; //用户绘制的线条数目，用于指定线条的颜色 public FormImageSegment() { InitializeComponent(); } //窗体加载时 private void FormImageSegment_Load(object sender, EventArgs e) { //设置提示 toolTip.SetToolTip(rbWatershed, "可以在源图像上用鼠标绘制大致分割区域线条，该线条用于分水岭算法"); toolTip.SetToolTip(txtPSLevel, "金字塔层数跟图像尺寸有关，该值只能是图像尺寸被2整除的次数，否则将得出错误结果"); toolTip.SetToolTip(txtPSThreshold1, "建立连接的错误阀值"); toolTip.SetToolTip(txtPSThreshold2, "分割簇的错误阀值"); toolTip.SetToolTip(txtPMSFSpatialRadius, "空间窗的半径"); toolTip.SetToolTip(txtPMSFColorRadius, "色彩窗的半径"); toolTip.SetToolTip(btnClearMarkers, "清除绘制在源图像上，用于分水岭算法的大致分割区域线条"); //加载图像 LoadImage(); } //当窗体关闭时，释放资源 private void FormImageSegment_FormClosing(object sender, FormClosingEventArgs e) { if (imageSource != null) imageSource.Dispose(); if (imageSourceClone != null) imageSourceClone.Dispose(); if (imageMarkers != null) imageMarkers.Dispose(); } //加载源图像 private void btnLoadImage_Click(object sender, EventArgs e) { OpenFileDialog ofd = new OpenFileDialog(); ofd.CheckFileExists = true; ofd.DefaultExt = "jpg"; ofd.Filter = "图片文件|*.
jpg;*.png;*.bmp|所有文件|*.*"; if (ofd.ShowDialog(this) == DialogResult.OK) { if (ofd.FileName != "") { sourceImageFileName = ofd.FileName; LoadImage(); } } ofd.Dispose(); } //清除分割线条 private void btnClearMarkers_Click(object sender, EventArgs e) { if (imageSourceClone != null) imageSourceClone.Dispose(); imageSourceClone = imageSource.Copy(); pbSource.Image = imageSourceClone.Bitmap; imageMarkers.SetZero(); drawCount = 1; } //当鼠标按下并在源图像上移动时，在源图像上绘制分割线条 private void pbSource_MouseMove(object sender, MouseEventArgs e) { //如果按下了左键 if (e.Button == MouseButtons.Left) { if (previousMouseLocation.X >= 0 && previousMouseLocation.Y >= 0) { Point p1 = new Point((int)(previousMouseLocation.X * xScale), (int)(previousMouseLocation.Y * yScale)); Point p2 = new Point((int)(e.Location.X * xScale), (int)(e.Location.Y * yScale)); LineSegment2D ls = new LineSegment2D(p1, p2); int thickness = (int)(LineWidth * xScale); imageSourceClone.Draw(ls, new Bgr(255d, 255d, 255d), thickness); pbSource.Image = imageSourceClone.Bitmap; imageMarkers.Draw(ls, new Gray(drawCount), thickness); } previousMouseLocation = e.Location; } } //当松开鼠标左键时，将绘图的前一位置设置为（-1，-1） private void pbSource_MouseUp(object sender, MouseEventArgs e) { previousMouseLocation = new Point(-1, -1); drawCount++; } //加载源图像 private void LoadImage() { if (imageSource != null) imageSource.Dispose(); imageSource = new Image(sourceImageFileName); if (imageSourceClone != null) imageSourceClone.Dispose(); imageSourceClone = imageSource.Copy(); pbSource.Image = imageSourceClone.Bitmap; if (imageMarkers != null) imageMarkers.Dispose(); imageMarkers = new Image(imageSource.Size); imageMarkers.SetZero(); xScale = 1d * imageSource.Width / pbSource.Width; yScale = 1d * imageSource.Height / pbSource.Height; drawCount = 1; } //分割图像 private void btnImageSegment_Click(object sender, EventArgs e) { if (rbWatershed.Checked) txtResult.Text += Watershed(); else if (rbPrySegmentation.Checked) txtResult.Text += PrySegmentation(); else if (rbPryMeanShiftFilte
ring.Checked) txtResult.Text += PryMeanShiftFiltering(); } /// /// 分水岭算法图像分割 /// /// 返回用时 private string Watershed() { //分水岭算法分割 Image imageMarkers2 = imageMarkers.Copy(); Stopwatch sw = new Stopwatch(); sw.Start(); CvInvoke.cvWatershed(imageSource.Ptr, imageMarkers2.Ptr); sw.Stop(); //将分割的结果转换到256级灰度图像 pbResult.Image = imageMarkers2.Bitmap; imageMarkers2.Dispose(); return string.Format("分水岭图像分割，用时：{0:F05}毫秒。\r\n", sw.Elapsed.TotalMilliseconds); } /// /// 金字塔分割算法 /// /// private string PrySegmentation() { //准备参数 Image imageDest = new Image(imageSource.Size); MemStorage storage = new MemStorage(); IntPtr ptrComp = IntPtr.Zero; int level = int.Parse(txtPSLevel.Text); double threshold1 = double.Parse(txtPSThreshold1.Text); double threshold2 = double.Parse(txtPSThreshold2.Text); //金字塔分割 Stopwatch sw = new Stopwatch(); sw.Start(); CvInvoke.cvPyrSegmentation(imageSource.Ptr, imageDest.Ptr, storage.Ptr, out ptrComp, level, threshold1, threshold2); sw.Stop(); //显示结果 pbResult.Image = imageDest.Bitmap; //释放资源 imageDest.Dispose(); storage.Dispose(); return string.Format("金字塔分割，用时：{0:F05}毫秒。\r\n", sw.Elapsed.TotalMilliseconds); } /// /// 均值漂移分割算法 /// /// private string PryMeanShiftFiltering() { //准备参数 Image imageDest = new Image(imageSource.Size); double spatialRadius = double.Parse(txtPMSFSpatialRadius.Text); double colorRadius = double.Parse(txtPMSFColorRadius.Text); int maxLevel = int.Parse(txtPMSFNaxLevel.Text); int maxIter = int.Parse(txtPMSFMaxIter.Text); double epsilon = double.Parse(txtPMSFEpsilon.Text); MCvTermCriteria termcrit = new MCvTermCriteria(maxIter, epsilon); //均值漂移分割 Stopwatch sw = new Stopwatch(); sw.Start(); OpenCvInvoke.cvPyrMeanShiftFiltering(imageSource.Ptr, imageDest.Ptr, spatialRadius, colorRadius, maxLevel, termcrit); sw.Stop(); //显示结果 pbResult.Image = imageDest.Bitmap; //释放资源 imageDest.Dispose(); return string.Format("均值漂移分割，用时：{0:F05}毫秒。\r\n", sw.Elapsed.Tot
alMilliseconds); } /// /// 当改变金字塔分割的参数“金字塔层数”时，对参数进行校验 /// /// /// private void txtPSLevel_TextChanged(object sender, EventArgs e) { int level = int.Parse(txtPSLevel.Text); if (level < 1 || imageSource.Width % (int)(Math.Pow(2, level - 1)) != 0 || imageSource.Height % (int)(Math.Pow(2, level - 1)) != 0) MessageBox.Show(this, "注意：您输入的金字塔层数不符合要求，计算结果可能会无效。", "金字塔层数错误"); } /// /// 当改变均值漂移分割的参数“金字塔层数”时，对参数进行校验 /// /// /// private void txtPMSFNaxLevel_TextChanged(object sender, EventArgs e) { int maxLevel = int.Parse(txtPMSFNaxLevel.Text); if (maxLevel < 0 || maxLevel > 8) MessageBox.Show(this, "注意：均值漂移分割的金字塔层数只能在0至8之间。", "金字塔层数错误"); } }}
