OpenCV MFC 模块间通信

1. 新建MFC项目

点击完成。

2. 添加按钮

在“工具箱”中找到“Button”控件，添加至界面： 

 

2. 配置opencv， 添加colordetector.h

#include<iostream>
#include "opencv2/opencv.hpp"

using namespace std;

class ColorDetector{
private:
    //最小可接受距离
    int minDist;
    //目标色
    cv::Vec3b target;
    //结果图像
    cv::Mat result;
public:
    //构造函数
    ColorDetector() : minDist(100)
    {
        //初始化默认参数
        target[0] = target[1] = target[2] = 0;
    }
    //设置彩色距离阈值，阈值须为非负数
    void setColorDistabceThreshold(int distance)
    {
        if (distance < 0)
            distance = 0;
        minDist = distance;
    }
    //获取彩色距离阈值
    int getColorDistanceThreshold() const
    {
        return minDist;
    }
    //设置需检测的颜色
    void setTargetColor(unsigned char red, unsigned char green, unsigned char blue)
    {
        target[2] = red;
        target[1] = green;
        target[0] = blue;
    }
    //设置需检测的颜色
    void setTargetColor(cv::Vec3b color)
    {
        target = color;
    }
    //获取需检测的颜色
    cv::Vec3b getTargetColor()    const
    {
        return target;
    }
    //二值化处理函数
    cv::Mat_<uchar> process(cv::Mat &image)
    {
        result.create(image.rows, image.cols, CV_8U);
        //得到迭代器
        cv::Mat_<cv::Vec3b>::const_iterator it = image.begin<cv::Vec3b>();
        cv::Mat_<cv::Vec3b>::const_iterator itend = image.end<cv::Vec3b>();
        cv::Mat_<uchar>::iterator itout = result.begin<uchar>();

        while (it != itend)
        {
            if (getDistance(*it) < minDist)
            {
                *itout = 255;
            }
            else
            {
                *itout = 0;
            }
            it++;//更新输入迭代器
            itout++;;//更新输出迭代器
        }
        return result;
    }
    //计算颜色距离
    int getDistance(const cv::Vec3b &color)    const
    {
        cv::Vec3b dist;
        cv::absdiff(color, target, dist);
        return cv::sum(dist)[0];
    }
};

class ColorDetectController
{
private:
    ColorDetector* cdetect;//算法类
    cv::Mat image;//待处理的图像
    cv::Mat result;//结果
public:
    ColorDetectController()
    {
        cdetect = new ColorDetector();
    }
    //设置色彩距离阈值
    void setColorDistanceThreshold(int distance)
    {
        cdetect->setColorDistabceThreshold(distance);
    }
    //获取色彩距离阈值
    int getColorDistancethreshold()    const
    {
        return cdetect->getColorDistanceThreshold();
    }
    //设置要检测的颜色
    void setTargetColor(unsigned char red,
        unsigned char green, unsigned char blue)
    {
        cdetect->setTargetColor(red, green, blue);
    }
    //获取要检测的颜色
    void getTargetColor(unsigned char& red, unsigned char& green, unsigned char& blue)    const
    {
        cv::Vec3b color = cdetect->getTargetColor();
        red = color[2];
        green = color[1];
        blue = color[0];
    }
    //设置输入图像，通过文件读取
    bool setInputImage(string filename)
    {
        image = cv::imread(filename);
        if (!image.data)
            return false;
        else
            return true;
    }
    //返回当前的输入图像
    const cv::Mat getInputImage()    const
    {
        return image;
    }
    //开始处理图像
    void process()
    {
        result = cdetect->process(image);
    }
    //获取最近一次处理的结果
    const cv::Mat getLastResult()    const
    {
        return result;
    }
    //删除当前控制器创建的处理对象
    ~ColorDetectController()
    {
        delete cdetect;
    }
};

在3_2模块间通信.h 添加头文件 #include "colordetector.h"

在3_2模块间通信Dlg.h 添加公有成员 ColorDetectController controller; 

 

3. 右击“Button1”,选择属性，将”Caption“属性改为”打开图像“，ID 属性改为 OpenImg。双击按钮添加代码段：

  　CFileDialog dlg(TRUE, _T("*.bmp"), NULL,
        OFN_FILEMUSTEXIST | OFN_PATHMUSTEXIST | OFN_HIDEREADONLY,
        _T("image file(*.bmp;*,jpg)|*.bmp;*.jpg|ALL Files(*.*)|*.*||"), NULL);

    dlg.m_ofn.lpstrTitle = _T("Open Image");
    // if a filename has been selected
    if (dlg.DoModal() == IDOK) {
        // get the path of the selected filename
        CString strMfc = dlg.GetPathName();
        std::string filename = CT2CA(strMfc.GetBuffer(0));
        // set and display the input image
        controller.setInputImage(filename);
        cv::imshow("Input Image", controller.getInputImage());
    }

 

右击“Button1”,选择属性，将”Caption“属性改为”处理图像“，ID 属性改为 ProcessImg。双击按钮添加代码段：

 // target color is hard-coded here
    controller.setTargetColor(130, 190, 230);
    // process the input image and display result
    controller.process();
    cv::imshow("Output Result", controller.getLastResult());