OPENCV去除小连通区域,去除孔洞的实例讲解

void RemoveSmallRegion(Mat &Src, Mat &Dst,int AreaLimit, int CheckMode, int NeihborMode)
{
	int RemoveCount = 0;
	//新建一幅标签图像初始化为0像素点，为了记录每个像素点检验状态的标签，0代表未检查，1代表正在检查,2代表检查不合格（需要反转颜色），3代表检查合格或不需检查 
	//初始化的图像全部为0，未检查
	Mat PointLabel = Mat::zeros(Src.size(), CV_8UC1);
	if (CheckMode == 1)//去除小连通区域的白色点
	{
		cout <<"去除小连通域.";
		for (int i = 0; i (i, j) <10)
				{
					PointLabel.at(i, j) = 3;//将背景黑色点标记为合格，像素为3
				}
			}
		}
	}
	else//去除孔洞，黑色点像素
	{
		cout <<"去除孔洞";
		for (int i = 0; i (i, j) > 10)
				{
					PointLabel.at(i, j) = 3;//如果原图是白色区域，标记为合格，像素为3
				}
			}
		}
	}


	vectorNeihborPos;//将邻域压进容器
	NeihborPos.push_back(Point2i(-1, 0));
	NeihborPos.push_back(Point2i(1, 0));
	NeihborPos.push_back(Point2i(0, -1));
	NeihborPos.push_back(Point2i(0, 1));
	if (NeihborMode == 1)
	{
		cout <<"Neighbor mode: 8邻域." <(i, j) == 0)//标签图像像素点为0，表示还未检查的不合格点
			{ //开始检查
				vectorGrowBuffer;//记录检查像素点的个数
				GrowBuffer.push_back(Point2i(j, i));
				PointLabel.at(i, j) = 1;//标记为正在检查
				int CheckResult = 0;


				for (int z = 0; z = 0 && CurrX= 0 && CurrY(CurrY, CurrX) == 0)
							{
								GrowBuffer.push_back(Point2i(CurrX, CurrY)); //邻域点加入buffer 
								PointLabel.at(CurrY, CurrX) = 1;   //更新邻域点的检查标签，避免重复检查 
							}
						}
					}
				}
				if (GrowBuffer.size()>AreaLimit) //判断结果（是否超出限定的大小），1为未超出，2为超出 
					CheckResult = 2;
				else
				{
					CheckResult = 1;
					RemoveCount++;//记录有多少区域被去除
				}


				for (int z = 0; z (CurrY,CurrX)+=CheckResult;//标记不合格的像素点，像素值为2
				}
				//********结束该点处的检查********** 


			}
		}


	}


	CheckMode = 255 * (1 - CheckMode);
	//开始反转面积过小的区域 
	for (int i = 0; i (i,j)==2)
			{
				Dst.at(i, j) = CheckMode;
			}
			else if (PointLabel.at(i, j) == 3)
			{
				Dst.at(i, j) = Src.at(i, j);
				
			}
		}
	}
	cout <

Mat erzhi1 = Mat::zeros(srcImage.rows, srcImage.cols, CV_8UC1);
RemoveSmallRegion(dst, erzhi,100, 1, 1);
RemoveSmallRegion(erzhi, erzhi,100, 0, 0);
imshow("erzhi1", erzhi);