// ***************************************************************** // 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. // ******************************************************************* // Source: http://answers.opencv.org/question/20484/get-the-color-percentage/ // // Get the color percentage of RGB(ex red 50%, green 25% and blue %25) in an image // // ******************************************************************* program cv_Sum; {$APPTYPE CONSOLE} {$R *.res} uses System.SysUtils, highgui_c, core_c, Core.types_c, imgproc_c, imgproc.types_c, uResourcePaths; const // имя картинки filename = cResourceMedia + 'cat2.jpg'; var img : pIplImage; channels: array [0 .. 2] of pIplImage; BGRSum : Array [0 .. 2] of TCvScalar; i, total: Integer; begin try img := cvLoadImage( filename, 1); for i := 0 to 2 do channels[i] := cvCreateImage( cvGetSize(img), 8, 1); cvSplit( img, channels[0], channels[1], channels[2], 0); for i := 0 to 2 do BGRSum[i] := cvSum(channels[i]); total := img^.width * img^.height * 255; WriteLn('Color percentage of RGB(ex red 50%, green 25% and blue %25) in an image is'); writeln( 'red: ', BGRSum[2].val[0] / total * 100:2:2); writeln( 'green: ', BGRSum[1].val[0] / total * 100:2:2); writeln( 'blue: ', BGRSum[0].val[0] / total * 100:2:2); readln; except on E: Exception do writeln( E.ClassName, ': ', E.Message); end; end.