本文测试环境:
win10 64位
vistual studio 2019
Emgu CV 4.6.0
环境配置准备:
1 新增控制台项目,.net framework为4.7.2
2 把win-x64目录的native目录下的文件全部拷贝到项目的运行目录Debug目录下
3 项目选择x64
4 添加项目引用Emgu.CV.dll、Emgu.CV.Platform.NetFramework.dll、System.Drawing.dll和System.Runtime.InteropServices.RuntimeInformation.dll
具体配置参考:
Emgu CV4图像处理之环境搭建1(C#)_zxy2847225301的博客-CSDN博客
下面内容部分参考自:
EmguCV-第11讲-ROI与mask掩码_YADONCHEN的博客-CSDN博客_emgucv 掩模
【OpenCV学习笔记】十三、ROI与mask掩码_zlm丶的博客-CSDN博客_mask掩码
ROI:个人理解是,从原图中,截取指定矩形区域的内容
代码例子:
chunfen1.png原图
Logo.png原图
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.Util;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace EmguCVDemo2
{
class Program
{
static void Main(string[] args)
{
Mat srcPic = new Mat("chunfen1.png");
Mat logo = new Mat("Logo.png");
ROITest(srcPic, logo);
CvInvoke.WaitKey(0);
Console.ReadLine();
}
private static void ROITest(Mat srcPic, Mat logo)
{
Mat imgROI = new Mat(srcPic, new System.Drawing.Rectangle(20, 20, logo.Cols, logo.Rows));
CvInvoke.Imshow("imgROI", imgROI);
CvInvoke.WaitKey(0);
}
}
}
运行结果如下:
mask遮罩
初级融入:个人理解是,把一张小的图片(一般为Logo图片),原封不动地替换到原图ROI对应的位置
代码如下:
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.Util;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace EmguCVDemo2
{
class Program
{
static void Main(string[] args)
{
Mat srcPic = new Mat("chunfen1.png");
Mat logo = new Mat("Logo.png");
PrimaryROI(srcPic, logo);
CvInvoke.WaitKey(0);
Console.ReadLine();
}
/// <summary>
/// 初级融合
/// </summary>
/// <param name="srcPic"></param>
/// <param name="logo"></param>
public static void PrimaryROI(Mat srcPic,Mat logo)
{
Mat imgROI = new Mat(srcPic, new System.Drawing.Rectangle(20, 20, logo.Cols, logo.Rows));
logo.CopyTo(imgROI);
CvInvoke.Imshow("srcPic", srcPic);
CvInvoke.WaitKey(0);
}
}
}
运行结果如下图:
看到没有,把Logo图塞进原来ROI的位置了
圆形融合:个人理解是把遮罩的形状变成圆形,看起来圆滑一点
代码如下:
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.Util;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace EmguCVDemo2
{
class Program
{
static void Main(string[] args)
{
Mat srcPic = new Mat("chunfen1.png");
Mat logo = new Mat("Logo.png");
CicleROI(srcPic, logo);
CvInvoke.WaitKey(0);
Console.ReadLine();
}
/// <summary>
/// 圆形ROI
/// </summary>
/// <param name="srcPic"></param>
/// <param name="logo"></param>
private static void CicleROI(Mat srcPic, Mat logo)
{
Mat imgROI = new Mat(srcPic, new System.Drawing.Rectangle(20, 20, logo.Cols, logo.Rows));
//定义了一个长为logo.Cols,宽为logo.Rows的矩形遮罩
Mat mask = Mat.Zeros(logo.Rows, logo.Cols, Emgu.CV.CvEnum.DepthType.Cv8U, 3);
CvInvoke.Imshow("mask_rec", mask);
CvInvoke.Circle(mask, new System.Drawing.Point(logo.Size.Width/2, logo.Size.Height / 2), logo.Size.Width / 2, new MCvScalar(255,255,255),-1);
CvInvoke.Imshow("draw_cicle", mask);
logo.CopyTo(imgROI, mask);
CvInvoke.Imshow("srcPic", srcPic);
CvInvoke.WaitKey(0);
}
}
}
运行结果如下图:
高级融合:个人理解是把一张图(一般为Logo图)塞进另外一张图,Logo图比较特别,背景色一般为纯色(白色),然后把Logo取反后二值化,即把背景色去掉了,只留下Logo重要的内容
代码如下:
using Emgu.CV;
using Emgu.CV.Structure;
using Emgu.CV.Util;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace EmguCVDemo2
{
class Program
{
static void Main(string[] args)
{
Mat srcPic = new Mat("chunfen1.png");
Mat logo = new Mat("Logo.png");
HightROI(srcPic, logo);
CvInvoke.WaitKey(0);
Console.ReadLine();
}
/// <summary>
/// 高级融入
/// </summary>
/// <param name="srcPic"></param>
/// <param name="logo"></param>
public static void HightROI(Mat srcPic, Mat logo)
{
Mat imgROI = new Mat(srcPic, new System.Drawing.Rectangle(20, 20, logo.Cols, logo.Rows));
Mat mask = logo.Clone();
//对遮罩取反
CvInvoke.BitwiseNot(mask, mask);
//对遮罩进行二值化处理
CvInvoke.Threshold(mask, mask, 100, 255, Emgu.CV.CvEnum.ThresholdType.Binary);
CvInvoke.Imshow("mask", mask);
logo.CopyTo(imgROI,mask);
CvInvoke.Imshow("srcPic", srcPic);
CvInvoke.WaitKey(0);
}
}
}
运行结果如下图: