机器视觉是一门让计算机模拟人类视觉功能的学科。颜色识别在其中扮演着重要的角色，它旨在通过对图像中的颜色信息进行分析，从而识别出图像中的目标物体或者区域。例如，在水果分拣系统中，可以根据水果的颜色（如苹果的红色、香蕉的黄色等）将不同种类的水果区分开来；在工业生产线上，可以检测产品表面颜色是否符合标准，从而实现质量控制。

demo运行效果

修改参数

继续缩小系数

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using ViewControl;
using HalconDotNet;
using System.Reflection.Emit;
using static System.Net.Mime.MediaTypeNames;
using System.Drawing.Text;
namespace DeepLearningTest1
{public partial class FormMain : Form{HalconView HW;HObject HIMage = new HObject();public FormMain(){InitializeComponent();HW = new HalconView();HW.HWindowControl.BackColor = Color.White;splitContainer1.Panel1.Controls.Add(HW);HW.Dock = DockStyle.Fill;}       private void button1_Click(object sender, EventArgs e){try{OpenFileDialog openFileDialog = new OpenFileDialog();openFileDialog.Filter = "图片文件（*.bmp;*.jpg;*.gif;*.png;*.tiff;*.tif;*.ply）|*.bmp;*.jpg;*.gif;*.png;*.tiff;*.tif;*.ply";openFileDialog.RestoreDirectory = true;openFileDialog.FilterIndex = 1;if (openFileDialog.ShowDialog() == DialogResult.OK){label3.Text = openFileDialog.FileName;HOperatorSet.ReadImage(out HIMage, label3.Text);HW.DispImage(HIMage, true);}}catch (Exception ex){MessageBox.Show("加载图片失败  " + ex.ToString());}}private void btn_DrawROI_Click(object sender, EventArgs e){Form2 F2 = new Form2( HIMage);F2.Show();}private void button2_Click(object sender, EventArgs e){HOperatorSet.ReadClassGmm("./12.ggc", out var hv_GMMHandle1);HOperatorSet.CreateClassLutGmm(hv_GMMHandle1, new HTuple(), new HTuple(), out  var hv_ClassLUTHandle1);HOperatorSet.ClassifyImageClassLut(HIMage, out var ho_ClassRegions, hv_ClassLUTHandle1);HW.HalconWindow.ClearWindow();HW.HalconWindow.SetDraw("fill");HW.HalconWindow.SetColor("white");HW.DispObject(HIMage);HW.DispObject(ho_ClassRegions);}}
}

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using System.Windows.Forms;
using ViewControl;
using HalconDotNet;
using static System.Net.Mime.MediaTypeNames;
namespace DeepLearningTest1
{public partial class Form2 : Form{HalconView HW2;HObject HIMage2 = new HObject(), Circle = new HObject ();HTuple  hv_GMMHandle = new HTuple(), hv_ClassLUTHandle=new HTuple();public Form2(HObject HIMage){InitializeComponent();HIMage2 = HIMage;HW2 = new HalconView();HW2.HWindowControl.BackColor = Color.White;splitContainer1.Panel2.Controls.Add(HW2);HW2.Dock = DockStyle.Fill;}private void btn_loadImage_Click(object sender, EventArgs e){if (!HIMage2.IsInitialized()) { MessageBox.Show("图片为空"); return; }HW2.DispImage(HIMage2, true);}private void btn_save_Click(object sender, EventArgs e){HOperatorSet.WriteClassGmm(hv_GMMHandle, "./12.ggc");this.Close();}private void btn_DrawROI_Click(object sender, EventArgs e){try{if (!HIMage2.IsInitialized()) { MessageBox.Show("图片为空"); return; }HSystem.SetSystem("clip_region", "false");HW2.Focus();HW2.DrawCircleMod(out Circle, 578, 627, 20, out HTuple r1, out HTuple c1, out HTuple radio);HW2.HalconWindow.SetColor("blue");HW2.DispObject(Circle);}catch (Exception ex){MessageBox.Show("设置区域失败  " + ex.ToString());}}private void btn_Reduce_Click(object sender, EventArgs e){HOperatorSet.CreateClassGmm(Convert.ToInt32(tBx_NunDim.Text), 1, 1, "full", "none", 3, 42, out hv_GMMHandle);HOperatorSet.AddSamplesImageClassGmm(HIMage2, Circle, hv_GMMHandle,Convert.ToInt32(tBx_Randomize.Text));HOperatorSet.TrainClassGmm(hv_GMMHandle, 100, 0.1, "training", 1, out 
var hv_Centers,out var hv_Iter);HOperatorSet.CreateClassLutGmm(hv_GMMHandle, new HTuple(), new HTuple(), out hv_ClassLUTHandle);}private void btn_DisResult_Click(object sender, EventArgs e){HOperatorSet.ClassifyImageClassLut(HIMage2, out var ho_ClassRegions, hv_ClassLUTHandle);HW2.HalconWindow.SetDraw("fill");HW2.DispObject(ho_ClassRegions);}       }
}