using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.Util;
using System.Drawing;
using Emgu.CV.Util;
using System.Collections;
namespace Final.Tool
{class Pictrue{public static ArrayList list = new ArrayList();public static void preDeal(String path) {list.Clear();Image<Bgr, byte> src = new Image<Bgr, byte>(path);Image<Gray, byte> graySrc = src.Convert<Gray, byte>();//CvInvoke.cvSmooth(graySrc.Ptr,graySrc.Ptr,Emgu.CV.CvEnum.SMOOTH_TYPE.CV_GAUSSIAN,3,3,0,0);Image<Gray, byte> sobel = new Image<Gray, byte>(path);CvInvoke.cvSobel(graySrc.Ptr,sobel.Ptr,2,0,3);CvInvoke.cvNamedWindow("sobel");CvInvoke.cvShowImage("sobel", sobel);CvInvoke.cvThreshold(sobel.Ptr,sobel.Ptr,0,255,Emgu.CV.CvEnum.THRESH.CV_THRESH_OTSU);//自定义1*3的核进行X方向的膨胀腐蚀IntPtr mask =CvInvoke.cvCreateStructuringElementEx(3, 1, 1, 0,Emgu.CV.CvEnum.CV_ELEMENT_SHAPE.CV_SHAPE_RECT, new IntPtr());//自定义一个核CvInvoke.cvDilate(sobel.Ptr, sobel.Ptr, mask, 10);//X方向膨胀连通数字CvInvoke.cvErode(sobel.Ptr, sobel.Ptr, mask, 16);//X方向腐蚀去除碎片CvInvoke.cvDilate(sobel.Ptr, sobel.Ptr, mask, 10); //X方向膨胀回复形态//自定义3*1的核进行Y方向的膨胀腐蚀mask =CvInvoke.cvCreateStructuringElementEx(1, 3, 0, 1,Emgu.CV.CvEnum.CV_ELEMENT_SHAPE.CV_SHAPE_RECT, new IntPtr());//自定义一个核CvInvoke.cvErode(sobel.Ptr, sobel.Ptr, mask, 1);// Y方向腐蚀去除碎片CvInvoke.cvDilate(sobel.Ptr, sobel.Ptr, mask, 6);//回复形态CvInvoke.cvNamedWindow("sobel2");CvInvoke.cvShowImage("sobel2", sobel);//轮廓检测：IntPtr storage = CvInvoke.cvCreateMemStorage(0);MCvSeq comp1 = new MCvSeq();comp1.ptr = new IntPtr();IntPtr Dyncontour = new IntPtr();int n = CvInvoke.cvFindContours(sobel.Ptr,storage,ref Dyncontour, StructSize.MCvContour,Emgu.CV.CvEnum.RETR_TYPE.CV_RETR_CCOMP, Emgu.CV.CvEnum.CHAIN_APPROX_METHOD.CV_CHAIN_APPROX_NONE,new Point(0, 0));Seq<Point> DyncontourTemp1 = new Seq<Point>(Dyncontour, null);//方便对IntPtr类型进行操作Seq<Point> DyncontourTemp=DyncontourTemp1;Image<Bgr, byte> tempContImg = new Image<Bgr, byte>(path);double area;for (; DyncontourTemp != null && DyncontourTemp.Ptr.ToInt32() != 0; DyncontourTemp = DyncontourTemp.HNext){Rectangle rect = CvInvoke.cvBoundingRect(DyncontourTemp, false);if (rect.Width > 2.8 * rect.Height && rect.Width < 3.5 * rect.Height)//{//抠到图了Image<Bgr, byte> dst = new Image<Bgr, byte>(rect.Width,rect.Height);CvInvoke.cvSetImageROI(tempContImg.Ptr,rect);CvInvoke.cvCopy(tempContImg.Ptr,dst.Ptr,new IntPtr());list.Add(dst);CvInvoke.cvSaveImage("p1.jpg",dst,new IntPtr());CvInvoke.cvResetImageROI(tempContImg);}CvInvoke.cvDrawContours(tempContImg.Ptr, DyncontourTemp, new MCvScalar(255, 255, 255), new MCvScalar(255, 255, 255), 0, 1,Emgu.CV.CvEnum.LINE_TYPE.EIGHT_CONNECTED, new Point(0, 0));}//Rectangle rect = CvInvoke.cvBoundingRect(DyncontourTemp, false);CvInvoke.cvShowImage("cont",tempContImg);} }
}

这段代码可以抠出类似车牌的矩形框，不过因为本人有点赖，没有把所有抠出来的矩形保存为图片，只保存了第一个抠出来的矩形，有兴趣的人在实际运行的时候再修改修改。