QT+opencv实现找不同

QT+opencv实现找不同

小伙伴们大家好,今天给大家分享一个使用QT和opencv实现的一个找不同的小demo,此demo可以用于大家来找茬小游戏,提高你查询图片不同的速度

实现思路:

使用QT和opencv

第一步:绘制两个透明视窗,用于采集视窗内的图片,视口大小可以修改,位置可以调整

第二部:采集视窗内的图像,并且使用opencv比较对应的图像不同之处

第三步:在视口绘制出对应的不同位置

主要代码:

绘制透明区域:

void DifferentWidget::paintEvent(QPaintEvent *event)
{
    QPainter p(this );
    p.setCompositionMode( QPainter::CompositionMode_Clear );
    p.fillRect( rect1_, Qt::SolidPattern );
    p.fillRect( rect2_, Qt::SolidPattern );
    QPainter painter(this);
    painter.setRenderHint(QPainter::Antialiasing, true);
    QPen pen;
    pen.setWidth(1);
    pen.setColor(Qt::red);
    painter.setPen(pen);

    // 绘制比较之后的框
    for(const auto &rect : rects_)
    {
        QRect rect1;
        rect1.setX(rect.x+rect1_.x());
        rect1.setY(rect.y+rect1_.y());
        rect1.setHeight(rect.height);
        rect1.setWidth(rect.width);
        painter.drawRect(rect1);

        rect1.setX(rect.x+rect2_.x());
        rect1.setY(rect.y+rect2_.y());
        rect1.setHeight(rect.height);
        rect1.setWidth(rect.width);
        painter.drawRect(rect1);
    }

}

比较图片不同之处:

std::vector<cv::Rect> DifferentWidget::imageSubtract(const cv::Mat& image1, const cv::Mat& image2)
{
    if (image1.empty() || image2.empty())
    {
        return {};
    }

    cv::Mat cv_src1 = image1.clone();
    cv::Mat cv_src2 = image2.clone();

    if ((image1.rows != image2.rows) || (image1.cols != image2.cols))
    {
        int rows = (image1.rows + image2.rows) / 2;
        int cols = (image1.cols + image2.cols) / 2;

        cv::resize(image1, cv_src1, cv::Size(cols, rows));
        cv::resize(image2, cv_src2, cv::Size(cols, rows));
    }

    cv::Mat image1_gary, image2_gary;

    if (cv_src1.channels() != 1)
    {
        cvtColor(cv_src1, image1_gary, cv::COLOR_BGR2GRAY);
    }
    if (cv_src2.channels() != 1)
    {
        cvtColor(cv_src2, image2_gary, cv::COLOR_BGR2GRAY);
    }

    cv::Mat frameDifference, absFrameDifferece;
    cv::Mat previousGrayFrame = image2_gary.clone();

    //图1减图2
    subtract(image1_gary, image2_gary, frameDifference, cv::Mat(), CV_16SC1);

    //取绝对值
    absFrameDifferece = abs(frameDifference);

    //位深的改变
    absFrameDifferece.convertTo(absFrameDifferece, CV_8UC1, 1, 0);

    cv::Mat segmentation;
    //阈值处理(这一步很关键,要调好二值化的值)
    threshold(absFrameDifferece, segmentation, 10, 255, cv::THRESH_BINARY);
    //threshold(absFrameDifferece, segmentation, 0, 255, cv::THRESH_OTSU);

    //形态学处理(开闭运算)
    //形态学处理用到的算子
    cv::Mat morphologyKernel = cv::getStructuringElement(cv::MORPH_RECT, cv::Size(5, 5), cv::Point(-1, -1));
    morphologyEx(segmentation, segmentation, cv::MORPH_CLOSE, morphologyKernel, cv::Point(-1, -1), 2, cv::BORDER_REPLICATE);

    //找边界
    std::vector< std::vector<cv::Point> > contours;
    std::vector<cv::Vec4i> hierarchy;
    findContours(segmentation, contours, hierarchy, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE, cv::Point(0, 0));//CV_RETR_TREE
    std::vector< std::vector<cv::Point> > contours_poly(contours.size());

    std::vector<cv::Rect> boundRect;

    for (int index = 0; index < contours.size(); index++)
    {
        approxPolyDP(cv::Mat(contours[index]), contours_poly[index], 3, true);
        cv::Rect rect = cv::boundingRect(cv::Mat(contours_poly[index]));
        boundRect.push_back(rect);
    }
    return boundRect;
}

效果展示:

QT+opencv实现找不同_第1张图片

遇到的问题:

透明窗口和转换的问题

项目开源地址:https://gitee.com/turbolove/find-difference.git

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