mirror of
https://github.com/Laex/Delphi-OpenCV.git
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fde0aa2f53
LibTest [+] cv_CalcOpticalFlowPyrLK [+] cv_SnakeImage MultiDemo [+] CameraShift [+] Squares Signed-off-by: Laex <laex@bk.ru>
84 lines
3.1 KiB
ObjectPascal
84 lines
3.1 KiB
ObjectPascal
// JCL_DEBUG_EXPERT_GENERATEJDBG OFF
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// JCL_DEBUG_EXPERT_INSERTJDBG OFF
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// JCL_DEBUG_EXPERT_DELETEMAPFILE OFF
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program cv_Integral;
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{$APPTYPE CONSOLE}
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{$R *.res}
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uses
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System.SysUtils,
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{$I ..\..\uses_include.inc}
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;
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const
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filename = 'Resource\cat2.jpg';
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Var
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SourceImage: pIplImage = nil;
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SumImage: pIplImage = nil;
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SquareSumImage: pIplImage = nil;
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SquareSumImage32S: pIplImage = nil;
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TiltedSumImage: pIplImage = nil;
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begin
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try
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// получаем картинку
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SourceImage := cvLoadImage(filename, CV_LOAD_IMAGE_GRAYSCALE);
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WriteLn(Format('[i] image: %s', [filename]));
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// покажем изображение
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cvNamedWindow('original', 1);
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cvShowImage('original', SourceImage);
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SumImage := cvCreateImage(cvSize(SourceImage^.width + 1, SourceImage^.height + 1), IPL_DEPTH_32S, 1);
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SquareSumImage := cvCreateImage(cvSize(SourceImage^.width + 1, SourceImage^.height + 1), IPL_DEPTH_64F, 1);
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SquareSumImage32S := cvCreateImage(cvSize(SourceImage^.width + 1, SourceImage^.height + 1), IPL_DEPTH_32S, 1);
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TiltedSumImage := cvCreateImage(cvSize(SourceImage^.width + 1, SourceImage^.height + 1), IPL_DEPTH_32S, 1);
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// получаем интегральное изображение
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{
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void cvIntegral( const CvArr* SourceImage, CvArr* SumImage, CvArr* SquareSumImage=0, CvArr* TiltedSumImage=0 );
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SourceImage: The source image, wxh, single-channel, 8-bit, or floating-point (32f or 64f).
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SumImage: The sum image, w+1xh+1, single-channel, 32-bit integer or double precision floating-point (64f).
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SquareSumImage: The square sum image, w+1xh+1, single-channel, double precision floating-point (64f).
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TiltedSumImage: The tilted sum image (sum of rotated by 45° image), w+1xh+1, single-channel, the same data type as sum.
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The function cvIntegral calculates one or more integral images for the source image as following:
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S(X,Y)=sumx<X,y<YI(x,y)
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Sq(X,Y)=sumx<X,y<YI(x,y)2
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T(X,Y)=sumy<Y,abs(x-X)<yI(x,y)
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After that the images are calculated, they can be used to calculate sums of pixels over an arbitrary rectangles, for example:
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sumx1<=x<x2,y1<=y<y2I(x,y)=S(x2,y2)-S(x1,y2)-S(x2,y1)+S(x1,x1)
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It makes possible to do a fast blurring or fast block correlation with variable window size etc.
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}
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cvIntegral(SourceImage, SumImage, SquareSumImage, TiltedSumImage);
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cvNamedWindow('cvIntegral', 1);
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cvShowImage('cvIntegral', SumImage);
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cvNamedWindow('cvIntegral 2', 1);
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cvConvert(SquareSumImage, SquareSumImage32S);
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cvShowImage('cvIntegral 2', SquareSumImage32S);
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cvNamedWindow('cvIntegral tilted');
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cvShowImage('cvIntegral tilted', TiltedSumImage);
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// ждём нажатия клавиши
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cvWaitKey(0);
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// освобождаем ресурсы
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cvReleaseImage(SourceImage);
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cvReleaseImage(SumImage);
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cvReleaseImage(SquareSumImage);
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cvReleaseImage(SquareSumImage32S);
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cvReleaseImage(TiltedSumImage);
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// удаляем окна
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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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