OpenCV掩码操作练习

电玩女神 2023-07-14 10:52 17阅读 0赞

QT += core
    QT -= gui
    
    CONFIG += c++11
    
    TARGET = myOpencvTest1
    CONFIG += console
    CONFIG -= app_bundle
    
    TEMPLATE = app
    
    SOURCES += main.cpp
    
    INCLUDEPATH += C:\OpenCv4.0\include  \
                   C:\OpenCv4.0\include\opencv2
    
    CONFIG(debug, debug|release): {
    LIBS += C:\OpenCv4.0\x64\vc14\lib\opencv_world400d.lib
    #LIBS += -LC:\OpenCv4.0\x64\vc14\lib \
    #        -lopencv_world400d
    } else:CONFIG(release, debug|release): {
    LIBS += C:\OpenCv4.0\x64\vc14\lib\opencv_world400.lib
    #LIBS += -LC:\OpenCv4.0\x64\vc14\lib \
    #        -lopencv_world400
    }
    
    
    # The following define makes your compiler emit warnings if you use
    # any feature of Qt which as been marked deprecated (the exact warnings
    # depend on your compiler). Please consult the documentation of the
    # deprecated API in order to know how to port your code away from it.
    DEFINES += QT_DEPRECATED_WARNINGS
    
    # You can also make your code fail to compile if you use deprecated APIs.
    # In order to do so, uncomment the following line.
    # You can also select to disable deprecated APIs only up to a certain version of Qt.
    #DEFINES += QT_DISABLE_DEPRECATED_BEFORE=0x060000    # disables all the APIs deprecated before Qt 6.0.0

#include <QCoreApplication>
    #include <iostream>
    #include <opencv2/core.hpp>
    #include <opencv2/highgui.hpp>
    #include <opencv2/imgproc.hpp>
    #include <QDebug>
    #include <QDir>
    #include <QFile>
    #include "iostream"
    
    using namespace std;
    using namespace cv;
    
    /*!
     * \brief myMaskFun
     * \param srcImage
     * \return
     */
    Mat myMaskFun(Mat srcImage)
    {
        const int nChannels = srcImage.channels();
        Mat resultImage(srcImage.size(), srcImage.type());
        for (int j = 1; j < srcImage.rows - 1; j++)
        {
            const uchar* previous = srcImage.ptr<uchar>(j - 1);
            const uchar* current = srcImage.ptr<uchar>(j);
            const uchar* next = srcImage.ptr<uchar>(j + 1);
            uchar * output = resultImage.ptr<uchar>(j);
            for (int i = nChannels; i < nChannels*(srcImage.cols - 1); ++i)
            {
                *output++ = saturate_cast<uchar>(current[i - nChannels] + current[i + nChannels]
                    + previous[i] + next[i]) / 4;
            }
        }
    
        //! 进行边界处理
        resultImage.row(0).setTo(Scalar(0));
        resultImage.row(resultImage.rows - 1).setTo(Scalar(0));
        resultImage.col(0).setTo(Scalar(0));
        resultImage.col(resultImage.cols - 1).setTo(Scalar(0));
        return resultImage;
    }
    /*!
     * \brief systemMaskFun
     * \param srcImage
     * \return
     */
    Mat systemMaskFun(Mat srcImage)
    {
        Mat resultImage(srcImage.size(), srcImage.type());
        //! 构造核函数因子
        Mat kern = (Mat_<float>(3, 3) << 0, 1, 0,
                                    1, 0, 1,
                                    0, 1, 0) / (float)(4);
        filter2D(srcImage, resultImage, srcImage.depth(), kern);
        return resultImage;
    }
    int main()
    {
        //! 只创建信息头部分
        Mat oriImage;
    
        //! 读入图片
        oriImage = imread("C:/1.png", IMREAD_COLOR);
        //! 判断图片是否成功
        if (oriImage.empty()){
            qDebug("image open erro");
            return 1;
        }
    
        if (!oriImage.data){
            qDebug("image open erro");
            return 1;
        }
        //! 显示原始图片
        imshow("ori", oriImage);
    
        //! 颜色空间转换
        Mat resGrayImage;
        cvtColor(oriImage, resGrayImage,COLOR_BGR2GRAY);
        imshow("grayImage", resGrayImage);
        //! 基于像素邻域的掩码操作
        Mat resImage = myMaskFun(resGrayImage);
        imshow("resultImage1", resImage);
        //! 系统函数方式
        resImage = systemMaskFun(oriImage);
        imshow("resultImage2", resImage);
        waitKey(0);
        return 0;
    }