保险丝分类统计,检测网格缺陷,胶囊检测,糖果图检测

#region namespace imports

using System;

using System.Collections;

using System.Drawing;

using System.IO;

using System.Windows.Forms;

using Cognex.VisionPro;

using Cognex.VisionPro.ToolBlock;

using Cognex.VisionPro3D;

using Cognex.VisionPro.ImageProcessing;

using Cognex.VisionPro.PMAlign;

using Cognex.VisionPro.CalibFix;

using Cognex.VisionPro.CompositeColorMatch;

#endregion

public class CogToolBlockAdvancedScript : CogToolBlockAdvancedScriptBase

{

#region Private Member Variables

private Cognex.VisionPro.ToolBlock.CogToolBlock mToolBlock;

#endregion

//声明一个label成员变量

private CogGraphicLabel label;

//声明CogPMAlignTool成员变量

CogPMAlignTool pma;

//声明CogCompositeColorMatchTool成员变量

CogCompositeColorMatchTool colorTool;

//声明图形集合

private CogGraphicCollection col = new CogGraphicCollection();

public override bool GroupRun(ref string message, ref CogToolResultConstants result)

{

//映射CogPMAlignTool对象

pma = mToolBlock.Tools["CogPMAlignTool1"] as CogPMAlignTool;

//映射CogCompositeColorMatchTool对象

colorTool = mToolBlock.Tools["CogCompositeColorMatchTool1"] as CogCompositeColorMatchTool;

//初始化label对象

label =new CogGraphicLabel();

//清空集合

col.Clear();

// Run each tool using the RunTool function

foreach(ICogTool tool in mToolBlock.Tools)

mToolBlock.RunTool(tool, ref message, ref result);

int orange =0,red = 0,green = 0,blue = 0,yellow = 0;

//code

//1.遍历pma结果

//2.循环匹配颜色

for (int i = 0; i < pma.Results.Count; i++)

{

//初始化图形限定框

CogRectangleAffine rec = new CogRectangleAffine();

//获取模板匹配的结果坐标点 用于限定框的坐标

rec.CenterX = pma.Results[i].GetPose().TranslationX;

rec.CenterY = pma.Results[i].GetPose().TranslationY;

//获取模板匹配的结果旋转度 用于限定框的旋转度

rec.Rotation = pma.Results[i].GetPose().Rotation;

//限定框长宽设置

rec.SideXLength = 100;

rec.SideYLength = 20;

//限定框颜色

rec.Color = CogColorConstants.Red;

//设置好的限定款 做为 颜色匹配工具的限定款

colorTool.Region = rec;

//执行颜色匹配工具

colorTool.Run();

//获得颜色匹配工具结果中最佳匹配的名字 用于后续记录个数

string color = colorTool.Result.ResultOfBestMatch.Color.Name;

//使用 switch 来进行颜色筛选 同时记录对象颜色个数

switch (color.ToLower())

{

case"orange":

orange++;

break;

case"red":

red++;

break;

case"green":

green++;

break;

case"blue":

blue++;

break;

case"yellow":

yellow++;

break;

default:break;

}

}

//拼接颜色字符串 添加到label中

string text = "Orange: " + orange + " red: " + red + " green: " + blue + " blue: " + orange + " yellow: " + yellow;

label.Font = new Font("宋体", 20);

label.Color = CogColorConstants.Green;

label.SetXYText(300, 100, text);

return false;

}
public override void ModifyLastRunRecord(Cognex.VisionPro.ICogRecord lastRecord)

{

mToolBlock.AddGraphicToRunRecord(label, lastRecord, "CogImageConvertTool1.InputImage", "Script");

}

2.案例：网格缺陷检测

1.使用IPoneimage 预处理图片工具 调整图形的整体对比度 使用blob时 更能清楚的辨别特征

2.侵蚀正方体 使blob 白底区域减少 继续优化匹配结果

1.过滤周长 0-200

#region namespace imports

using System;

using System.Collections;

using System.Drawing;

using System.IO;

using System.Windows.Forms;

using Cognex.VisionPro;

using Cognex.VisionPro.ToolBlock;

using Cognex.VisionPro3D;

using Cognex.VisionPro.Blob;

#endregion

public class CogToolBlockAdvancedScript : CogToolBlockAdvancedScriptBase

{

#region Private Member Variables

private Cognex.VisionPro.ToolBlock.CogToolBlock mToolBlock;

#endregion

//声明图形集合

private CogGraphicCollection col = new CogGraphicCollection();

//声明blob成员变量

CogBlobTool blob；

public override bool GroupRun(ref string message, ref CogToolResultConstants result)

{

//绑定工具集合工具

blob = mToolBlock.Tools["CogBlobTool1"] as CogBlobTool;

//清空集合

col.Clear();

foreach(ICogTool tool in mToolBlock.Tools)

mToolBlock.RunTool(tool, ref message, ref result);

//CogPolygon 边界线显示图形 可以勾画出blob中缺陷的轮廓

for (int i = 0; i < blob.Results.GetBlobs().Count; i++)

{

//初始化边界线显示图形

CogPolygon polygon = new CogPolygon();

//通过blob工具 获得所有结果的 边界线 GetBoundary() 获取边界线对象

polygon = blob.Results.GetBlobs()[i].GetBoundary();

//设置边界线颜色

polygon.Color = CogColorConstants.Red;

//设置边界线粗细度

polygon.LineWidthInScreenPixels = 5;

//添加边界线图形 到图形集合中

col.Add(polygon);

}

return false;

}

public override void ModifyLastRunRecord(Cognex.VisionPro.ICogRecord lastRecord)

{

//添加边界图形到LastRunRecord

for (int i = 0; i < col.Count; i++)

{

mToolBlock.AddGraphicToRunRecord(col[i], lastRecord, "CogIPOneImageTool1.InputImage", "Script");

}

}

1.彩色图像中提取像素来创建灰度图像

2.对于所有黄色胶囊进行颜色提取 目的:为了得到黄色区域的灰度图

、

1.经过提取后得到的灰度图 但是 灰度图中 胶囊因为有光照影响 出现了不同大小的黑色斑点

1.为了减少 黑色斑点带来的blob匹配难度 使用CogIPOneImageTool 来预处理图形

2.使用灰阶形态NxM

3.调整内核宽高

4.调整后图像

1.使用blob设置参数

1.过滤 干扰 特征

#region namespace imports

using System;

using System.Collections;

using System.Drawing;

using System.IO;

using System.Windows.Forms;

using Cognex.VisionPro;

using Cognex.VisionPro.ToolBlock;

using Cognex.VisionPro3D;

using Cognex.VisionPro.ColorExtractor;

using Cognex.VisionPro.ImageProcessing;

using Cognex.VisionPro.Blob;

#endregion

public class CogToolBlockAdvancedScript : CogToolBlockAdvancedScriptBase

{

#region Private Member Variables

private Cognex.VisionPro.ToolBlock.CogToolBlock mToolBlock;

#endregion

//声明图形集合

private CogGraphicCollection col = new CogGraphicCollection();

//声明blob

private CogBlobTool blob;

public override bool GroupRun(ref string message, ref CogToolResultConstants result)

{
//绑定工具集合工具

blob = mToolBlock.Tools["CogBlobTool1"] as CogBlobTool;

//获取ToolBlock 设置的输入参数 目的:用于blob结果判断的参考 也为以后动态设置检测胶囊数量 和面积 提供接口

int count = (int)mToolBlock.Inputs["Count"].Value;

int minArea = (int) mToolBlock.Inputs["MinArea"].Value;

//清空集合

col.Clear();

// Run each tool using the RunTool function

foreach(ICogTool tool in mToolBlock.Tools)

mToolBlock.RunTool(tool, ref message, ref result);

//定义缺失个数和ng个数变量 用于记录

int queShiCount = 0;

int ngCount = 0;

//通过筛选blob面积，判断药片质量

for (int i = 0; i < blob.Results.GetBlobs().Count; i++)

{

CogGraphicLabel label = new CogGraphicLabel();

string res = "";

label.Font = new Font("微软雅黑", 18);

label.LineWidthInScreenPixels = 5;

if (blob.Results.GetBlobs()[i].Area < minArea)

{

ngCount++;

res = "NG";

label.Color = CogColorConstants.Red;

}

else

{

res = "OK";

label.Color = CogColorConstants.Green;

}

//获取blob每个结果的中心坐标 用于 label坐标

double x = blob.Results.GetBlobs()[i].CenterOfMassX;

double y = blob.Results.GetBlobs()[i].CenterOfMassY;

//设置label位置和内容

label.SetXYText(x, y, res);

//添加label 到图像集合中

col.Add(label);

}

//判断blob结果数量 获取缺失个数

if (blob.Results.GetBlobs().Count < count)

{

queShiCount = count - blob.Results.GetBlobs().Count;

}

//创建label 用于显示 ng和缺失 或者合格

CogGraphicLabel label2 = new CogGraphicLabel();

label2.Font = new Font("微软雅黑", 18);

label2.LineWidthInScreenPixels = 5;

//res2 用于记录 缺失ng 或者合格字符串

string res2 = "";

if (queShiCount > 0 || ngCount > 0)

{

res2 = "缺失：" + queShiCount + " NG: " + ngCount;

label2.Color = CogColorConstants.Red;

}

else

{

res2 = "合格";

label2.Color = CogColorConstants.Green;

}

//设置label2位置和内容

label2.SetXYText(100, 100, res2);

//添加label2 到图像集合中

col.Add(label2);

return false;

}
public override void ModifyLastRunRecord(Cognex.VisionPro.ICogRecord lastRecord)

{

for (int i = 0; i < col.Count; i++)

{

mToolBlock.AddGraphicToRunRecord(col[i], lastRecord, "CogColorExtractorTool1.InputImage", "Script");

}

}

4.糖果检测 和 1 案例 基本一致

区别

案例1 使用时 pma 配合 CogRectangleAffine 矩形限定框 来进行CogCompositeColorMatchTool 颜色匹配工具 区域的划分

案例4 使用blob 配合CogCircle 圆心图形 来进行CogCompositeColorMatchTool 颜色匹配工具 区域的划分

1.在block开头加了 一个CogIPoneImageTool 目的:为了 后续图形 需要 图像预处理时 备用

#region namespace imports

using System;

using System.Collections;

using System.Drawing;

using System.IO;

using System.Text;

using System.Windows.Forms;

using Cognex.VisionPro;

using Cognex.VisionPro.ToolBlock;

using Cognex.VisionPro3D;

using Cognex.VisionPro.ImageProcessing;

using Cognex.VisionPro.Blob;

using Cognex.VisionPro.CompositeColorMatch;

#endregion
public class CogToolBlockAdvancedScript : CogToolBlockAdvancedScriptBase

{

#region Private Member Variables

private Cognex.VisionPro.ToolBlock.CogToolBlock mToolBlock;

#endregion

//声明label成员变量

CogGraphicLabel label;

public override bool GroupRun(ref string message, ref CogToolResultConstants result)

{

//映射 CogCompositeColorMatchTool 对象

CogCompositeColorMatchTool colorMatch = mToolBlock.Tools["CogCompositeColorMatchTool1"]as CogCompositeColorMatchTool;

//映射 CogBlobTool对象

CogBlobTool blob = mToolBlock.Tools["CogBlobTool1"] as CogBlobTool;

// Run each tool using the RunTool function

foreach(ICogTool tool in mToolBlock.Tools)

mToolBlock.RunTool(tool, ref message, ref result);

label = new CogGraphicLabel();

int yellow=0,green = 0,blue = 0,orange = 0,red = 0;

for (int i = 0; i < blob.Results.GetBlobs().Count; i++)

{

//创建圆心图形

CogCircle c = new CogCircle();

//使用blob结果的中心位置 （保险丝案例使用的时pma结果的中心位置）

double x = blob.Results.GetBlobs()[i].CenterOfMassX;

double y = blob.Results.GetBlobs()[i].CenterOfMassY;

//设置圆心坐标

c.CenterX = x;

c.CenterY = y;

c.Radius = 5;

//设置颜色匹配工具 的 检测区域

colorMatch.Region = c;

//执行工具

colorMatch.Run();

string colorName = colorMatch.Result.ResultOfBestMatch.Color.Name;

switch (colorName)

{

case "Yellow":

yellow++;

break;

case "Green":

green++;

break;

case "Blue":

blue++;

break;

case "Orange":

orange++;

break;

case "Red":

red++;

break;

}

//使用可变字符串进行拼接

StringBuilder sb = new StringBuilder();

sb.Append("Red: ").Append(red).Append(" Orange: ").Append(orange).

Append(" Green: ").Append(green).Append(" Blue: ").Append(blue).

Append(" Yellow: ").Append(yellow);

//显示label

label.SetXYText(150, 20, sb.ToString());

label.Color = CogColorConstants.Green;

label.Font = new Font("宋体", 20);

}

return false;

}
public override void ModifyLastRunRecord(Cognex.VisionPro.ICogRecord lastRecord)

{

mToolBlock.AddGraphicToRunRecord(label, lastRecord, "CogIPOneImageTool1.InputImage", "script");

}