(* /***************************************************************** // Delphi-OpenCV Demo // Copyright (C) 2013 Project Delphi-OpenCV // **************************************************************** // Contributor: // laentir Valetov // email:laex@bk.ru // **************************************************************** // You may retrieve the latest version of this file at the GitHub, // located at git://github.com/Laex/Delphi-OpenCV.git // **************************************************************** // The contents of this file are used with permission, subject to // the Mozilla Public License Version 1.1 (the "License"); you may // not use this file except in compliance with the License. You may // obtain a copy of the License at // http://www.mozilla.org/MPL/MPL-1_1Final.html // // Software distributed under the License is distributed on an // "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or // implied. See the License for the specific language governing // rights and limitations under the License. ******************************************************************* *) // JCL_DEBUG_EXPERT_GENERATEJDBG OFF // JCL_DEBUG_EXPERT_INSERTJDBG OFF // JCL_DEBUG_EXPERT_DELETEMAPFILE OFF program Squares; {$APPTYPE CONSOLE} {$R *.res} uses System.SysUtils, uLibName in '..\..\..\include\uLibName.pas', highgui_c in '..\..\..\include\highgui\highgui_c.pas', core_c in '..\..\..\include\core\core_c.pas', Core.types_c in '..\..\..\include\core\Core.types_c.pas', imgproc.types_c in '..\..\..\include\imgproc\imgproc.types_c.pas', imgproc_c in '..\..\..\include\imgproc\imgproc_c.pas', legacy in '..\..\..\include\legacy\legacy.pas', calib3d in '..\..\..\include\calib3d\calib3d.pas', imgproc in '..\..\..\include\imgproc\imgproc.pas', haar in '..\..\..\include\objdetect\haar.pas', objdetect in '..\..\..\include\objdetect\objdetect.pas', tracking in '..\..\..\include\video\tracking.pas', Core in '..\..\..\include\core\core.pas', Mat in '..\..\..\include\core\Mat.pas'; const filename = 'resource\matchshapes.jpg'; // pic1.bmp...pic6.bmp wndname = 'Squares'; function angle(pt1, pt2, pt0: PCvPoint): double; var dx1, dy1, dx2, dy2: double; begin dx1 := pt1^.x - pt0^.x; dy1 := pt1^.y - pt0^.y; dx2 := pt2^.x - pt0^.x; dy2 := pt2^.y - pt0^.y; result := (dx1 * dx2 + dy1 * dy2) / sqrt((dx1 * dx1 + dy1 * dy1) * (dx2 * dx2 + dy2 * dy2) + 1E-10); end; function findSquares4(img: PIplImage; storage: PCvMemStorage): PCvSeq; var thresh: integer; CC: TCvSeq; contours: PCvSeq; PP: PCvSeq; i, c, l, N: integer; sz: TCvSize; timg: PIplImage; gray: PIplImage; pyr: PIplImage; tgray: PIplImage; s, t: double; Squares: PCvSeq; result_: PCvSeq; rr: integer; yy: pointer; a: AnsiString; begin contours := @CC; PP := @contours; N := 11; thresh := 50; // cvSaveImage('ee1.bmp', PCvArr(img)); sz := cvSize((img^.width AND -2), (img^.height AND -2)); timg := cvCloneImage(img); // make a copy of input image gray := cvCreateImage(sz, 8, 1); pyr := cvCreateImage(cvSize(sz.width div 2, sz.height div 2), 8, 3); // create empty sequence that will contain points - // 4 points per square (the square's vertices) Squares := cvCreateSeq(0, sizeof(TCvSeq), sizeof(TCvPoint), storage); // select the maximum ROI in the image // with the width and height divisible by 2 cvSetImageROI(timg, cvRect(0, 0, sz.width, sz.height)); // down-scale and upscale the image to filter out the noise cvPyrDown(timg, pyr, 7); cvPyrUp(pyr, timg, 7); tgray := cvCreateImage(sz, 8, 1); // find squares in every color plane of the image for c := 0 to 2 do begin // extract the c-th color plane cvSetImageCOI(timg, c + 1); cvCopy(timg, tgray); // cvSaveImage('ee11.bmp', PCvArr(tgray)); for l := 0 to N - 1 do begin // hack: use Canny instead of zero threshold level. // Canny helps to catch squares with gradient shading if (l = 0) then begin // apply Canny. Take the upper threshold from slider // and set the lower to 0 (which forces edges merging) cvCanny(tgray, gray, 0, thresh, 5); // dilate canny output to remove potential // holes between edge segments cvDilate(gray, gray); // a := inttostr(l) + 'ee1.bmp'; // cvSaveImage(pCVChar(@a[1]), PCvArr(gray)); end else begin // apply threshold if l!=0: // tgray(x,y) = gray(x,y) < (l+1)*255/N ? 255 : 0 cvThreshold(tgray, gray, (l + 1) * 255 / N, 255, CV_THRESH_BINARY); // a := inttostr(l) + 'ee1.bmp'; // cvSaveImage(pCVChar(@a[1]), PCvArr(gray)); end; // try // find contours and store them all as a list rr := cvFindContours(gray, storage, @contours, sizeof(TCvContour), CV_RETR_LIST, CV_CHAIN_APPROX_SIMPLE, CvPoint(0, 0)); // test each contour while contours <> nil do begin // approximate contour with accuracy proportional // to the contour perimeter result_ := cvApproxPoly(contours, sizeof(TCvContour), storage, CV_POLY_APPROX_DP, cvContourPerimeter(contours) * 0.02, 0); // square contours should have 4 vertices after approximation // relatively large area (to filter out noisy contours) // and be convex. // Note: absolute value of an area is used because // area may be positive or negative - in accordance with the // contour orientation if (result_^.total = 4) AND (abs(cvContourArea(result_, CV_WHOLE_SEQ, 0)) > 1000) AND (cvCheckContourConvexity(result_) > 0) then begin s := 0; // for i := 0 to 5 - 1 do begin // find minimum angle between joint // edges (maximum of cosine) if (i >= 2) then begin t := abs(angle(PCvPoint(cvGetSeqElem(result_, i)), PCvPoint(cvGetSeqElem(result_, i - 2)), PCvPoint(cvGetSeqElem(result_, i - 1)))); if s <= t then s := t; // s = s > t ? s : t; end; end; // // // if cosines of all angles are small // // (all angles are ~90 degree) then write quandrange // // vertices to resultant sequence if (s < 0.3) then for i := 0 to 3 do cvSeqPush(Squares, cvGetSeqElem(result_, i)); end; // take the next contour contours := contours^.h_next; end; end; end; // release all the temporary images cvReleaseImage(gray); cvReleaseImage(pyr); cvReleaseImage(tgray); cvReleaseImage(timg); result := Squares; end; // the function draws all the squares in the image procedure drawSquares(img: PIplImage; Squares: PCvSeq); var reader: TCvSeqReader; cpy: PIplImage; i: integer; count: integer; pt: array [0 .. 3] of TCvPoint; rect: PCvPoint; begin rect := @pt; cpy := cvCloneImage(img); // initialize reader of the sequence cvStartReadSeq(Squares, @reader, 0); // read 4 sequence elements at a time (all vertices of a square) for i := 0 to Squares^.total - 1 do // ; i += 4 begin // CvPoint pt[4], *rect = pt; count := 4; // read 4 vertices CV_READ_SEQ_ELEM(@pt[0], reader, sizeof(TCvPoint)); CV_READ_SEQ_ELEM(@pt[1], reader, sizeof(TCvPoint)); CV_READ_SEQ_ELEM(@pt[2], reader, sizeof(TCvPoint)); CV_READ_SEQ_ELEM(@pt[3], reader, sizeof(TCvPoint)); // draw the square as a closed polyline cvPolyLine(cpy, @rect, @count, 1, 1, CV_RGB(255, 0, 0), 3, CV_AA, 0); // cvSaveImage('ee2.bmp', PCvArr(cpy)); end; // show the resultant image cvShowImage(wndname, cpy); cvReleaseImage(cpy); end; var storage: PCvMemStorage; img, img0: PIplImage; begin try storage := cvCreateMemStorage(0); img0 := cvLoadImage(filename); img := cvCloneImage(img0); cvNamedWindow(wndname, 1); // find and draw the squares drawSquares(img, findSquares4(img, storage)); cvWaitKey; cvReleaseImage(img); cvReleaseImage(img0); cvClearMemStorage(storage); except on E: Exception do Writeln(E.ClassName, ': ', E.Message); end; end.