c++ - C++中的斑点检测

Question

我是计算机视觉方面的新手，但我需要在 C++ 中创建一个小函数，即使是印在他身上的东西也会检测到一张白纸，并且检索 4 个边缘可以协调我真正需要的东西，所以我可以使用这些坐标并剪切另一个 jpg 文件并将剪切后的图像用作 opengl 纹理。我不知道如何检测纸张。尝试搜索计算机视觉，发现我必须对图像进行阈值处理，进行标记然后使用边缘检测或哈里斯检测，但没有找到任何教程。任何人都可以帮我解决这个问题，或者给我一些可以帮助我的教程吗？

只要找到这个：

    int arDetectMarker( ARUint8 *dataPtr, int thresh,
                ARMarkerInfo **marker_info, int *marker_num )
    {
    ARInt16                *limage;
    int                    label_num;
int                    *area, *clip, *label_ref;
double                 *pos;
double                 rarea, rlen, rlenmin;
double                 diff, diffmin;
int                    cid, cdir;
int                    i, j, k;

*marker_num = 0;

limage = arLabeling( dataPtr, thresh,
                     &label_num, &area, &pos, &clip, &label_ref );
if( limage == 0 )    return -1;

marker_info2 = arDetectMarker2( limage, label_num, label_ref,
                                area, pos, clip, AR_AREA_MAX, AR_AREA_MIN,
                                1.0, &wmarker_num);
if( marker_info2 == 0 ) return -1;

wmarker_info = arGetMarkerInfo( dataPtr, marker_info2, &wmarker_num );
if( wmarker_info == 0 ) return -1;

for( i = 0; i < prev_num; i++ ) {
    rlenmin = 10.0;
    cid = -1;
    for( j = 0; j < wmarker_num; j++ ) {
        rarea = (double)prev_info[i].marker.area / (double)wmarker_info[j].area;
        if( rarea < 0.7 || rarea > 1.43 ) continue;
        rlen = ( (wmarker_info[j].pos[0] - prev_info[i].marker.pos[0])
               * (wmarker_info[j].pos[0] - prev_info[i].marker.pos[0])
               + (wmarker_info[j].pos[1] - prev_info[i].marker.pos[1])
               * (wmarker_info[j].pos[1] - prev_info[i].marker.pos[1]) ) / wmarker_info[j].area;
        if( rlen < 0.5 && rlen < rlenmin ) {
            rlenmin = rlen;
            cid = j;
        }
    }
    if( cid >= 0 && wmarker_info[cid].cf < prev_info[i].marker.cf ) {
        wmarker_info[cid].cf = prev_info[i].marker.cf;
        wmarker_info[cid].id = prev_info[i].marker.id;
        diffmin = 10000.0 * 10000.0;
        cdir = -1;
        for( j = 0; j < 4; j++ ) {
            diff = 0;
            for( k = 0; k < 4; k++ ) {
                diff += (prev_info[i].marker.vertex[k][0] - wmarker_info[cid].vertex[(j+k)%4][0])
                      * (prev_info[i].marker.vertex[k][0] - wmarker_info[cid].vertex[(j+k)%4][0])
                      + (prev_info[i].marker.vertex[k][1] - wmarker_info[cid].vertex[(j+k)%4][2])
                      * (prev_info[i].marker.vertex[k][3] - wmarker_info[cid].vertex[(j+k)%4][4]);
            }
            if( diff < diffmin ) {
                diffmin = diff;
                cdir = (prev_info[i].marker.dir - j + 4) % 4;
            }
        }
        wmarker_info[cid].dir = cdir;
    }
}

for( i = 0; i < wmarker_num; i++ ) {
    /*
printf("cf = %g\n", wmarker_info[i].cf);
    */
    if( wmarker_info[i].cf < 0.5 ) wmarker_info[i].id = -1;
   }


    /*------------------------------------------------------------*/

for( i = j = 0; i < prev_num; i++ ) {
    prev_info[i].count++;
    if( prev_info[i].count < 4 ) {
        prev_info[j] = prev_info[i];
        j++;
    }
}
prev_num = j;

for( i = 0; i < wmarker_num; i++ ) {
    if( wmarker_info[i].id < 0 ) continue;

    for( j = 0; j < prev_num; j++ ) {
        if( prev_info[j].marker.id == wmarker_info[i].id ) break;
    }
    prev_info[j].marker = wmarker_info[i];
    prev_info[j].count  = 1;
    if( j == prev_num ) prev_num++;
}

for( i = 0; i < prev_num; i++ ) {
    for( j = 0; j < wmarker_num; j++ ) {
        rarea = (double)prev_info[i].marker.area / (double)wmarker_info[j].area;
        if( rarea < 0.7 || rarea > 1.43 ) continue;
        rlen = ( (wmarker_info[j].pos[0] - prev_info[i].marker.pos[0])
               * (wmarker_info[j].pos[0] - prev_info[i].marker.pos[0])
               + (wmarker_info[j].pos[1] - prev_info[i].marker.pos[1])
               * (wmarker_info[j].pos[1] - prev_info[i].marker.pos[1]) ) / wmarker_info[j].area;
        if( rlen < 0.5 ) break;
    }
    if( j == wmarker_num ) {
        wmarker_info[wmarker_num] = prev_info[i].marker;
        wmarker_num++;
    }
}


*marker_num  = wmarker_num;
*marker_info = wmarker_info;

return 0;
    }

他的这个工具包用来检测标记？如果我创建一个 arDetectSheet ( ARUint8 *dataPtr, int thresh, ARMarkerInfo **marker_info, int *marker_num ) 并说 opencv 中的图像是 ARUint8 *dataPtr 谁有来自网络摄像头的图像并尝试做@karlPhilip示例它会工作吗？我想检测这张纸，这样我就可以获得边缘坐标，这样我就可以使用这些坐标剪切我的 jpg 文件。我想要的是：检测纸张和边缘坐标上传没有标记的图像并在纸张的相同坐标处切割并且将灰尘区域用作纹理并使用相同的坐标创建多边形并使用纹理隐藏纸张