プログラマ専用SNS ミクプラ

コード:

#include <C:\OpenCV2.4.9\sources\include\opencv\cv.h>
#include <C:\OpenCV2.4.9\sources\include\opencv\highgui.h>
int
main (int argc, char *argv[])
{
int i;
IplImage *src_img = 0, **dst_img;
IplImage *src_img_gray = 0;
IplImage *tmp_img;
CvMemStorage *storage = cvCreateMemStorage (0);
CvSeq *contours = 0;
CvPoint *point, *tmp;
CvSeq *contour;
CvTreeNodeIterator it;
CvFileStorage *fs;

if (argc <= 2)
src_img = cvLoadImage ("../test.png", CV_LOAD_IMAGE_COLOR);
if (src_img == 0)
return -1;

src_img_gray = cvCreateImage (cvGetSize (src_img), IPL_DEPTH_8U, 1);
cvCvtColor (src_img, src_img_gray, CV_BGR2GRAY);
tmp_img = cvCreateImage (cvGetSize (src_img), IPL_DEPTH_8U, 1);
dst_img = (IplImage **) cvAlloc (sizeof (IplImage *) * 3);
for (i = 0; i < 3; i++) {
dst_img[i] = cvCloneImage (src_img);
}

// 画像の二値化と輪郭の検出
cvThreshold (src_img_gray, tmp_img, 100, 255, CV_THRESH_BINARY);
cvFindContours (tmp_img, storage, &contours, sizeof (CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE);


/* 輪郭シーケンスから座標を取得 */
fs = cvOpenFileStorage ("contours.txt", 0, CV_STORAGE_WRITE);
// ツリーノードイテレータの初期化
cvInitTreeNodeIterator (&it, contours, 1);
// )各ノード（輪郭）を走査
while ((contour = (CvSeq *) cvNextTreeNode (&it)) != NULL) {
cvStartWriteStruct (fs, "contour", CV_NODE_SEQ);
// 輪郭を構成する頂点座標を取得
tmp = CV_GET_SEQ_ELEM (CvPoint, contour, -1);
for (i = 0; i < contour->total; i++) {
point = CV_GET_SEQ_ELEM (CvPoint, contour, i);
cvLine (src_img, *tmp, *point, CV_RGB (0, 0, 255), 2);
cvStartWriteStruct (fs, NULL, CV_NODE_MAP | CV_NODE_FLOW);
cvWriteInt (fs, "x", point->x);
cvWriteInt (fs, "y", point->y);
cvEndWriteStruct (fs);
tmp = point;
}
cvEndWriteStruct (fs);
}
cvReleaseFileStorage (&fs);


cvNamedWindow ("Contours", CV_WINDOW_AUTOSIZE);
cvShowImage ("Contours", src_img);
cvWaitKey (0);

cvDestroyWindow ("Contours");
cvReleaseImage (&src_img);
cvReleaseImage (&src_img_gray);
cvReleaseImage (&tmp_img);
cvReleaseMemStorage (&storage);

return 0;
}
 

コード:

%YAML:1.0
contour:
- { x:158, y:39 }
- { x:156, y:41 }
- { x:156, y:43 }
- { x:154, y:45 }
- { x:154, y:46 }
- { x:153, y:47 }
- { x:153, y:48 }
- { x:151, y:50 }
- { x:151, y:52 }
- { x:149, y:54 }
- { x:149, y:55 }
- { x:148, y:56 }
- { x:148, y:57 }
- { x:147, y:58 }
- { x:147, y:59 }
- { x:145, y:61 }
- { x:145, y:62 }
- { x:144, y:63 }
- { x:144, y:64 }
- { x:143, y:65 }
- { x:143, y:66 }
- { x:141, y:68 }
・
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コード:

IplImage _iplimg,_thread,_biggestblob,_bloggray;
//1.二値化
Threshold(_thread, 0, 255, ThresholdType.Binary | ThresholdType.Otsu)

//2.ラベリング(一番大きな表組みだけ残すため)
CvBlobs _cvblob = new CvBlobs(_thread);
CvBlob _blob = CvBlobLib.GreaterBlob(_cvblob);
_blob.Contour.Render(_biggestblob, new CvScalar(255,255,255));
_biggestblob.CvtColor(_blobgray, ColorConversion.RgbToGray);

//3.図形を内包する矩形を取得
CvMemStorage _storage = new CvMemStorage();
CvSeq<CvPoint> _firstContour;
_blobgray.FindContours(_storage, out _firstContour, CvContour.SizeOf, ContourRetrieval.External, ContourChain.ApproxTC89L1);

CvSeq<CvPoint> _contour = _firstContour.ApproxPoly(CvContour.SizeOf, _storage, ApproxPolyMethod.DP, 0);

//4.(上部の)角検出
_blob.Contour.Render(_iplimg, new CvScalar(255, 255, 255));//ラベリング結果を描画
Cv.DrawContours(_iplimg, _contour, new CvScalar(0, 255, 0), new CvScalar(255, 0, 0), 255);//近似矩形も描画
IplImage _iplimggray = new IplImage(new CvSize(w, h), BitDepth.U8, 1);
_iplimg.CvtColor(_iplimggray, ColorConversion.RgbaToGray);
int _cnrcnt=4;
CvPoint2D32f[] _point = new CvPoint2D32f[_cnrcnt];
Cv.GoodFeaturesToTrack(_iplimggray, _eig, _tmp, out _point, ref _cnrcnt, 0.01, w/20);//コーナー検出

//5.4の2点から補正角度を計算し回転
//(本題からそれるので割愛します)