我是计算机视觉方面的新手,需要用C ++编写一个小函数,即使在白纸上有印刷物,也能检测到它,并检索出4个边缘坐标,这正是我所需要的,以便我可以使用这些坐标并裁剪另一个jpg文件,并将裁剪后的图像用作OpenGL纹理。 我不知道如何检测纸张。尝试搜索有关计算机视觉的信息,并发现我需要对图像进行阈值处理、标签化,然后使用边缘检测或哈里斯检测,但没有找到任何教程。有人能帮助我吗?或者向我展示一些教程可以帮助我吗?
这个artoolkit是如何检测标记的? 如果我创建一个arDetectSheet(ARUint8 *dataPtr, int thresh, ARMarkerInfo **marker_info, int *marker_num),并且假设opencv中的图像是ARUint8 *dataPtr,然后尝试执行@karlPhilip example,这样会起作用吗? 我想检测纸张,并获取其边缘坐标,以便使用这些坐标裁剪jpg文件。 我的要求:
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;
}
这个artoolkit是如何检测标记的? 如果我创建一个arDetectSheet(ARUint8 *dataPtr, int thresh, ARMarkerInfo **marker_info, int *marker_num),并且假设opencv中的图像是ARUint8 *dataPtr,然后尝试执行@karlPhilip example,这样会起作用吗? 我想检测纸张,并获取其边缘坐标,以便使用这些坐标裁剪jpg文件。 我的要求:
![检测纸张及其边缘坐标](https://istack.dev59.com/fY3yJ.webp)
![上传没有标记的图像,并在与纸张相同的坐标处进行裁剪](https://istack.dev59.com/Zgl5n.webp)
![并使用灰尘区域作为纹理](https://istack.dev59.com/tg0TD.webp)
![再使用相同的坐标创建多边形,并使用纹理隐藏纸张](https://istack.dev59.com/HXPOm.webp)