基于OpenCV的批量处理tiff图片黑边（QT环境）

这几天基础OpenCV，练习写了一个去黑边程序，新手代码，记录一下。

该方法为扫描线法，遇到非黑边内的（0，0，0）黑色时，用坐标排除（不在边界上跳过）。

PS：这里还提供一种区域增长思路，找图片黑色区域，面积最大的区域为需要去除的黑边。

基本思路

• 遍历导入图片，遍历像素，找到黑边所在的矩形框坐标，剪切图片（一分为四）

• 根据矩形坐标，计算新的地理位置信息

• 删除带有黑边的图片和tfw文件信息

• 打开和写入保存tif图片和tfw位置信息

博客链接

//传入图片   返回图片分割的图片  得到切点坐标
QVector<Mat> separationTif(Mat &iplImg, Point2d &cutPnt)
{
    QVector<Mat> vecMat;
    int width = iplImg.size().width;
    int height = iplImg.size().height;
    int begin_wid = 0, end_wid = 0, begin_heig = 0, end_heig = 0;     //标记黑边 坐标   
    int i = 0, j = 0;
    int blackNumber = 0;
    for (j = 0; j < height; ++j)
    {
        for (i = 0; i < width; ++i)
        {
            int tmpb, tmpg, tmpr;
            tmpb = cvGet2D(&(IplImage)iplImg, j, i).val[0];
            tmpg = cvGet2D(&(IplImage)iplImg, j, i).val[1];
            tmpr = cvGet2D(&(IplImage)iplImg, j, i).val[2];
            if (tmpb == 0 && tmpg == 0 && tmpr == 0)            //这里RGB数字可以灵活变动
            {
                ++blackNumber;
            }
        }
    }
    if (blackNumber == 0)            //不存在黑边
    {
        vecMat << iplImg;
        return vecMat;
    }
    else
    {
        for (j = 0; j < height; ++j)
        {
            bool flag = false;
            for (i = 0; i < width; ++i)
            {
                int tmpb, tmpg, tmpr;
                tmpb = cvGet2D(&(IplImage)iplImg, j, i).val[0];
                tmpg = cvGet2D(&(IplImage)iplImg, j, i).val[1];
                tmpr = cvGet2D(&(IplImage)iplImg, j, i).val[2];
                if (tmpb == 0 && tmpg == 0 && tmpr == 0)
                {
                    if (i > 0 && i < width - 1 && j > 0 && j < height - 1)
                        ;
                    else
                    {
                        flag = true;
                        begin_heig = j;
                        break;
                    }
                }
            }
            if (flag) break;
        }
        for (j = height - 1; j >= begin_heig; --j)
        {
            bool flag = false;            //判断
            for (i = 0; i < width; ++i)
            {
                int tmpb, tmpg, tmpr;
                tmpb = cvGet2D(&(IplImage)iplImg, j, i).val[0];
                tmpg = cvGet2D(&(IplImage)iplImg, j, i).val[1];
                tmpr = cvGet2D(&(IplImage)iplImg, j, i).val[2];
                if (tmpb == 0 && tmpg == 0 && tmpr == 0)
                {
                    if (i > 0 && i < width - 1 && j > 0 && j < height - 1)
                        ;
                    else
                    {
                        flag = true;
                        end_heig = j;
                        break;
                    }
                }
            }
            if (flag) break;
        }
        for (i = 0; i < width; ++i)
        {
            bool flag = false;
            for (j = 0; j < height; ++j)
            {
                int tmpb, tmpg, tmpr;
                tmpb = cvGet2D(&(IplImage)iplImg, j, i).val[0];
                tmpg = cvGet2D(&(IplImage)iplImg, j, i).val[1];
                tmpr = cvGet2D(&(IplImage)iplImg, j, i).val[2];
                if (tmpb == 0 && tmpg == 0 && tmpr == 0)
                {
                    if (i > 0 && i < width - 1 && j > 0 && j < height - 1)
                        ;
                    else
                    {
                        flag = true;
                        begin_wid = i;
                        break;
                    }
                }
            }
            if (flag) break;
        }
        for (i = width - 1; i >= begin_wid; --i)
        {
            bool flag = false;
            for (j = 0; j < height; ++j)
            {
                int tmpb, tmpg, tmpr;
                tmpb = cvGet2D(&(IplImage)iplImg, j, i).val[0];
                tmpg = cvGet2D(&(IplImage)iplImg, j, i).val[1];
                tmpr = cvGet2D(&(IplImage)iplImg, j, i).val[2];
                if (tmpb == 0 && tmpg == 0 && tmpr == 0)
                {
                    if (i > 0 && i < width - 1 && j > 0 && j < height - 1)
                        ;
                    else
                    {
                        flag = true;
                        end_wid = i;
                        break;
                    }
                }
            }
            if (flag) break;
        }
        if (begin_wid > 0 && begin_wid < (width - 1))
            cutPnt.x = begin_wid;
        else
            cutPnt.x = end_wid;
        if (begin_heig > 0 && begin_heig < (height - 1))
            cutPnt.y = begin_heig;
        else
            cutPnt.y = end_heig;
        if (cutPnt.x != 0 || cutPnt.y != 0)
        {                //裁剪的中心点不在（0，0）时  剪切图像
            cout << "裁剪的中心点为：" << endl;
            qDebug() << cutPnt.x << cutPnt.y;
            Mat img0 = Mat(iplImg, Rect(0, 0, cutPnt.x + 1, cutPnt.y + 1));                                    //左上
            Mat img1 = Mat(iplImg, Rect(0, cutPnt.y, cutPnt.x + 1, height - cutPnt.y - 1));                    //左下
            Mat img2 = Mat(iplImg, Rect(cutPnt.x, 0, width - cutPnt.x - 1, cutPnt.y + 1));                    //右上
            Mat img3 = Mat(iplImg, Rect(cutPnt.x, cutPnt.y, width - cutPnt.x - 1, height - cutPnt.y - 1));     //右下
            vecMat << img0 << img1 << img2 << img3;
        }
        else
        {
            qDebug() << "Do not have black_border";
            vecMat << iplImg;
        }
        return vecMat;
    }
}