halcon处理简单小例子和C#

找出图片有几个点，合适大小的点

read_image (SsSingle10, 'C:/ss_single_10.tiff')
gen_rectangle1 (ROI_1, 137.948, 99.8922, 1300.91, 1568.13)//画区域
reduce_domain (SsSingle10, ROI_1, ImageReduced)//删除不必要的区域
threshold(ImageReduced, ROI_1, 4000, 20000)//灰度值分割
connection (ROI_1, ConnectedRegions)//把区域连接
select_shape (ConnectedRegions, selectedRegions, 'area', 'and', 1150,5000)//选择形状或者区域，这里按大小区分
count_obj(selectedRegions,NumBalls)//计算合适大小个数

area_center(selectedRegions, Area, Row, Column)//这个我也不知道干嘛的

效果如图：

public partial class Form1 : Form
    {




        public Form1()
        {
            InitializeComponent();
            this.button3.Enabled = true;
        }
        HDevelopExport HD = new HDevelopExport();
        string ImagePath;
        public static int aa;
        public void button3_Click(object sender, EventArgs e)
        {
            OpenFileDialog openFileDialog = new OpenFileDialog();
            openFileDialog.Title = "选择文件";
            openFileDialog.Filter = "JPEG文件|*.jpg*|BMP文件|*.bmp*|TIFF文件|*.tiff*";
            openFileDialog.FileName = string.Empty;
            openFileDialog.FilterIndex = 1;
            openFileDialog.RestoreDirectory = true;
            openFileDialog.DefaultExt = "tiff";
         if (openFileDialog.ShowDialog() == DialogResult.OK)
              {
               ImagePath = openFileDialog.FileName;
               HObject image;
               HTuple width, height;
               HOperatorSet.ReadImage(out image, ImagePath);
               HOperatorSet.GetImageSize(image, out width, out height);
               HOperatorSet.SetPart(hWindowControl2.HalconWindow, 0, 0, height-1, width-1);
               HOperatorSet.DispObj(image, hWindowControl2.HalconWindow);
               this.button4.Enabled = true;
           }   
        }
        


        public  void button4_Click_1(object sender, EventArgs e)
        {
            // Local iconic variables 


            HObject image, ho_ROI_1, ho_ConnectedRegions;
            HObject ho_selectedRegions;


            // Local control variables 


            HTuple hv_NumBalls = null, hv_Area = null;
            HTuple hv_Row = null, hv_Column = null;
            // Initialize local and output iconic variables 
            HOperatorSet.GenEmptyObj(out image);
            HOperatorSet.GenEmptyObj(out ho_ROI_1);
            HOperatorSet.GenEmptyObj(out ho_ConnectedRegions);
            HOperatorSet.GenEmptyObj(out ho_selectedRegions);
            image.Dispose();


            HOperatorSet.ReadImage(out image, ImagePath);
            ho_ROI_1.Dispose();
            HOperatorSet.GenRectangle1(out ho_ROI_1, 137.948, 99.8922, 1300.91, 1568.13);
            ho_ROI_1.Dispose();
            HOperatorSet.Threshold(image, out ho_ROI_1, 4000, 20000);
            ho_ConnectedRegions.Dispose();
            HOperatorSet.Connection(ho_ROI_1, out ho_ConnectedRegions);
            ho_selectedRegions.Dispose();
            HOperatorSet.SelectShape(ho_ConnectedRegions, out ho_selectedRegions, "area",
                "and", 1150, 5000);
            HOperatorSet.CountObj(ho_selectedRegions, out hv_NumBalls);
            HOperatorSet.AreaCenter(ho_selectedRegions, out hv_Area, out hv_Row, out hv_Column);
            HOperatorSet.SetPart(hWindowControl2.HalconWindow, 0, 0, 1460, 1920);
            HOperatorSet.DispObj(ho_selectedRegions, hWindowControl2.HalconWindow);


            //aa = hv_Area;
            int num = hv_NumBalls;
            textBox2.Text = num.ToString();
            richTextBox2.Text =  hv_Area.ToString();
            CsvHelper w = new CsvHelper();
            w.WriteCsv("C:\\hhhhh.csv", hv_Area);
            //StreamWriter fileWriter = new StreamWriter("C:\\test1.csv", true, Encoding.Default);
            //fileWriter.WriteLine(String.Join(",", hv_Area));
            //fileWriter.Flush();
            //fileWriter.Close();
            image.Dispose();
            ho_ROI_1.Dispose();
            ho_ConnectedRegions.Dispose();
            ho_selectedRegions.Dispose();
            
            }
       
      
        }