mirror of
https://github.com/Laex/Delphi-OpenCV.git
synced 2024-11-15 15:55:53 +01:00
113 lines
3.5 KiB
ObjectPascal
113 lines
3.5 KiB
ObjectPascal
//*****************************************************************
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// Delphi-OpenCV Demo
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// Copyright (C) 2013 Project Delphi-OpenCV
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// ****************************************************************
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// Contributor:
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// laentir Valetov
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// email:laex@bk.ru
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// ****************************************************************
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// You may retrieve the latest version of this file at the GitHub,
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// located at git://github.com/Laex/Delphi-OpenCV.git
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// ****************************************************************
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// The contents of this file are used with permission, subject to
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// the Mozilla Public License Version 1.1 (the "License"); you may
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// not use this file except in compliance with the License. You may
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// obtain a copy of the License at
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// http://www.mozilla.org/MPL/MPL-1_1Final.html
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//
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// Software distributed under the License is distributed on an
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// "AS IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or
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// implied. See the License for the specific language governing
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// rights and limitations under the License.
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//*****************************************************************
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// Original file:
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// opencv\samples\c\adaptiveskindetector.cpp
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// ****************************************************************
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program cv_CalcHist;
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{$APPTYPE CONSOLE}
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{$POINTERMATH ON}
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{$R *.res}
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uses
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WinApi.Windows,
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System.SysUtils,
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highgui_c,
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core_c,
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Core.types_c,
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imgproc_c,
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imgproc.types_c;
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Function DrawHist(src_img: pIplImage): pIplImage;
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Var
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i, j, bin_w, hist_size, ch_width, sch: integer;
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max_value: Single;
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range_0: array [0 .. 1] of Single;
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ranges: pSingle;
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hist_img: pIplImage;
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dst_img: array [0 .. 3] of pIplImage;
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Hist: pCvHistogram;
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CS: TcvSize;
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Begin
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range_0[0] := 0;
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range_0[1] := 256;
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ranges := @range_0;
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dst_img[0] := NIL;
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dst_img[1] := NIL;
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dst_img[2] := NIL;
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dst_img[3] := NIL;
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hist_size := 256;
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ch_width := 260;
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sch := 0;
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CS.Height := src_img.Height;
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CS.Width := src_img.Width;
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sch := src_img.NChannels;
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for i := 0 to sch - 1 do
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begin
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dst_img[i] := cvCreateImage(CS, src_img.Depth, 1);
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end;
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Hist := cvCreateHist(1, @hist_size, CV_HIST_ARRAY, @ranges, 1);
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hist_img := cvCreateImage(cvSize((ch_width * sch), 200), 8, 1);
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if sch = 1 Then
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cvCopy(src_img, dst_img[0], NIL)
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else
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cvSplit(src_img, dst_img[0], dst_img[1], dst_img[2], dst_img[3]);
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cvSet(hist_img, cvScalarAll(255), 0);
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for i := 0 to sch - 1 do
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begin
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cvCalcHist(dst_img[i], Hist, 0, NIL);
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cvGetMinMaxHistValue(Hist, 0, @max_value, 0, 0);
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cvConvertScale(Hist.bins, Hist.bins, (hist_img.Height / max_value), 0);
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bin_w := cvRound(ch_width / hist_size);
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for j := 0 to hist_size - 1 do
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cvRectangle(hist_img, cvPoint(j * bin_w + (i * ch_width), hist_img.Height),
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cvPoint((j + 1) * bin_w + (i * ch_width), hist_img.Height - cvRound(cvGetReal1D(Hist.bins, j))), cvScalarAll(0),
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-1, 8, 0);
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End;
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Result := hist_img;
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for i := 0 to sch - 1 do
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cvReleaseImage(dst_img[i]);
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cvReleaseHist(Hist);
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End;
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Var
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src, Hist: pIplImage;
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begin
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try
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src := cvLoadImage('resource\baboon.jpg', CV_LOAD_IMAGE_ANYCOLOR OR CV_LOAD_IMAGE_ANYDEPTH);
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Hist := DrawHist(src);
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cvShowImage('Image Source', src);
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cvNamedWindow('Histogram', CV_WINDOW_AUTOSIZE);
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cvShowImage('Histogram', Hist);
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cvWaitKey(0);
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cvReleaseImage(src);
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cvReleaseImage(Hist);
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cvDestroyAllWindows;
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except
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on E: Exception do
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Writeln(E.ClassName, ': ', E.Message);
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end;
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end.
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