前言

图像经过算子处理后得到若干特征点，使用opencv进行渲染显示出这些特征点并且连线，更直观的对比处理前后的一些差异性

demo核心代码

//画出特征点并连线
void drawFilterLinePoints(cv::Mat& srcMat, cv::Point2f pointStart, cv::Point2f pointEnd, cv::Scalar color)
{std::vector<cv::KeyPoint> keypoints;keypoints.push_back({ pointStart, 0 });keypoints.push_back({ pointEnd, 0 });cv::drawKeypoints(srcMat, keypoints, srcMat, color);cv::line(srcMat, pointStart, pointEnd, color, 1, cv::LINE_AA);
}//在QLabel中显示此处使用Qt方法对多个图片进行拼接，也可使用opencv拼接
QImage mergeImgHorizonal(std::vector<QImage>& images)
{int image_width = 0;int max_height = 0;std::vector<QImage>::iterator it;for (it = images.begin(); it != images.end(); ++it) {int width = (*it).width();image_width += width;if ((*it).height() > max_height) {max_height = (*it).height();}}QImage Roi_H(image_width, max_height, QImage::Format_RGB888);Roi_H.fill(Qt::black);QPainter painter;painter.begin(&Roi_H);int x_pos = 0;for (it = images.begin(); it != images.end(); ++it) {painter.drawImage(x_pos, 0, (*it));x_pos += (*it).width();}painter.end();return Roi_H;
}

效果展示

作者：费码程序猿
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