Opencv问题, 怎样去除二值图像中面积较小的连通域?

Opencv问题, 怎样去除二值图像中面积较小的连通域?,第1张

//=======函数实现=====================================================================

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 = 0i <Src.rowsi++)

{

for (int j = 0j <Src.colsj++)

{

if (Src.at<uchar>(i, j) <10)

{

PointLabel.at<uchar>(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 = 0i <Src.rowsi++)

{

for (int j = 0j <Src.colsj++)

{

if (Src.at<uchar>(i, j) >10)

{

PointLabel.at<uchar>(i, j) = 3//如果原图是白色区域,标记为合格,像素为3

}

}

}

}

vector<Point2i>NeihborPos//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." <<endl

NeihborPos.push_back(Point2i(-1, -1))

NeihborPos.push_back(Point2i(-1, 1))

NeihborPos.push_back(Point2i(1, -1))

NeihborPos.push_back(Point2i(1, 1))

}

else int a = 0//cout <<"Neighbor mode: 4邻域." <塌拦<endl

int NeihborCount = 4 + 4 * NeihborMode

int CurrX = 0, CurrY = 0

//开始检测

for (int i = 0i <Src.rowsi++)

{

for (int j = 0j <Src.colsj++)

{

if (PointLabel.at<uchar>(i, j) == 0)//弊亩标签图像像素点为0,表示还未检查的不合格点

{ //团卜胡开始检查

vector<Point2i>GrowBuffer//记录检查像素点的个数

GrowBuffer.push_back(Point2i(j, i))

PointLabel.at<uchar>(i, j) = 1//标记为正在检查

int CheckResult = 0

for (int z = 0z <GrowBuffer.size()z++)

{

for (int q = 0q <NeihborCountq++)

{

CurrX = GrowBuffer.at(z).x + NeihborPos.at(q).x

CurrY = GrowBuffer.at(z).y + NeihborPos.at(q).y

if (CurrX >= 0 &&CurrX<Src.cols&&CurrY >= 0 &&CurrY<Src.rows) //防止越界

{

if (PointLabel.at<uchar>(CurrY, CurrX) == 0)

{

GrowBuffer.push_back(Point2i(CurrX, CurrY)) //邻域点加入buffer

PointLabel.at<uchar>(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 = 0z <GrowBuffer.size()z++)

{

CurrX = GrowBuffer.at(z).x

CurrY = GrowBuffer.at(z).y

PointLabel.at<uchar>(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 = 0i <Src.rows++i)

{

for (int j = 0j <Src.cols++j)

{

if (PointLabel.at<uchar>(i, j) == 2)

{

Dst.at<uchar>(i, j) = CheckMode

}

else if (PointLabel.at<uchar>(i, j) == 3)

{

Dst.at<uchar>(i, j) = Src.at<uchar>(i, j)

}

}

}

//cout <<RemoveCount <<" objects removed." <<endl

}

//=======函数实现=====================================================================

//=======调用函数=====================================================================

Mat img

img = imread("D:\\1_1.jpg", 0)//读取图片

threshold(img, img, 128, 255, CV_THRESH_BINARY_INV)

imshow("去除前", img)

Mat img1

RemoveSmallRegion(img, img, 200, 0, 1)

imshow("去除后", img)

waitKey(0)

//=======调用函数=====================================================================

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二、解决方法为:1、用进程管理 器查看进程表,如你能判断哪个线程 该程序的进程,则键岁可以关闭它,如无法判断则可以先设臵不显示系统进程;2、然后关闭所有的非系统进程,这样就 可以到程序 管理里正常宽空 卸载软件了。


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原文地址: https://outofmemory.cn/yw/12358732.html

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