private void Btn_answerReg3_Click(object sender, EventArgs e)
{
CVHelper commonUse = new CVHelper();
var src = new Image <Gray, byte>(ib_middleCut.Image.Bitmap);
var thresholdImage = src.CopyBlank();
int myThreshold = 210;
CvInvoke.Threshold(src, thresholdImage, myThreshold, 255, Emgu.CV.CvEnum.ThresholdType.BinaryInv);
commonUse.SaveMat(thresholdImage.Mat, "二值化后");
//思路 close -腐蚀-腐蚀-膨胀
//形态学膨胀
Mat mat_dilate = commonUse.MyDilate(thresholdImage.Mat, Emgu.CV.CvEnum.MorphOp.Close);
commonUse.SaveMat(mat_dilate, "形态学膨胀");
//mat_dilate = commonUse.MyDilate(mat_dilate, Emgu.CV.CvEnum.MorphOp.Close);
//commonUse.SaveMat(mat_dilate, "形态学膨胀1");
mat_dilate = commonUse.MyDilate(mat_dilate, Emgu.CV.CvEnum.MorphOp.Erode);
commonUse.SaveMat(mat_dilate, "形态学膨胀腐蚀1");
mat_dilate = commonUse.MyDilate(mat_dilate, Emgu.CV.CvEnum.MorphOp.Erode);
commonUse.SaveMat(mat_dilate, "形态学膨胀腐蚀2");
mat_dilate = commonUse.MyDilate(mat_dilate, Emgu.CV.CvEnum.MorphOp.Dilate);
commonUse.SaveMat(mat_dilate, "形态学膨胀2");
var image_dilate = mat_dilate.ToImage <Gray, byte>();
List <Rectangle> validRectList = new List <Rectangle>();
CutedRectList.ForEach(rect =>
{
var newRect = new Rectangle(Math.Max(0, rect.X - 8), Math.Max(0, rect.Y - 8), rect.Width, rect.Height);
var tmpImage = image_dilate.Copy(newRect);
var result = GetWhiteColorPercenter(tmpImage);
if (result > 0.2)
{
validRectList.Add(rect);
}
commonUse.SaveMat(tmpImage.Mat, "形态学后" + result);
});
validRectList.ForEach(r =>
{
CvInvoke.Rectangle(src, r, new MCvScalar(0, 0, 255));
});
new CVHelper().SaveMat(src.Mat, "通过比例计算获取的答案");
this.ib_result.Image = src;
}
private void Btn_answerReg4_Click(object sender, EventArgs e)
{
if (this.ib_middleCut.Image == null)
{
MessageBox.Show("裁剪图片不能为空");
return;
}
CVHelper commonUse = new CVHelper();
var centerList = new List <Point>();
if (!this.ck_IsIntell.Checked && !this.ckb_ANN.Checked)
{
centerList = commonUse.GetCenterPointListFromBitmapByWhiteArea(this.ib_middleCut.Image.Bitmap, CutedRectList);
Mat tmpMat = new Image <Bgr, byte>(this.ib_middleCut.Image.Bitmap).Mat;
centerList.ForEach(p =>
{
CvInvoke.Circle(tmpMat, p, 6, new MCvScalar(0, 0, 255), 2);
});
this.ib_result.Image = tmpMat;
}
else
{
var rectList = new List <Rectangle>();
CutedRectList.ForEach(r =>
{
r.Offset(destRect.Location);
//int offsetX = Math.Min(5, r.X), offsetY = Math.Min(5, r.Y);
//r.Offset(-offsetX, -offsetY);
rectList.Add(r);
});
CVArea area = new CVArea(this.destRect, commonUse.OrderRectList(rectList, IsFillFull: false), name: "测试卷");
if (this.ck_IsIntell.Checked)
{
centerList = commonUse.GetCenterPointListFromBitmapByWhiteArea(this.ib_original.Image.Bitmap, new List <CVArea>()
{
area
});
}
else if (this.ckb_ANN.Checked)
{
centerList = commonUse.GetCenterPointListFromBitmapByWhiteAreaByML(this.ib_original.Image.Bitmap, new List <CVArea>()
{
area
});
}
Mat tmpMat = new Image <Bgr, byte>(this.ib_original.Image.Bitmap).Mat;
centerList.ForEach(p =>
{
CvInvoke.Circle(tmpMat, p, 6, new MCvScalar(0, 0, 255), 2);
});
this.ib_result.Image = tmpMat;
this.CurrentArea = area;
return;
}
}
