Exemple #1
0
        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;
        }
Exemple #2
0
        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;
            }
        }