212 lines
6.6 KiB
C++
212 lines
6.6 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "cvtest.h"
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#if 0
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//extern "C"{
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// #include "HighGUI.h"
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//}
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static char cTestName[] = "Image Adaptive Thresholding";
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static char cTestClass[] = "Algorithm";
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static char cFuncName[] = "cvAdaptThreshold";
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static int aAdaptThreshold()
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{
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CvPoint *cp;
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int parameter1 = 3;
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double parameter2 = 10;
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int width = 128;
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int height = 128;
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int kp = 5;
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int nPoints2 = 20;
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int fi = 0;
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int a2 = 20;
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int b2 = 25,xc,yc;
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double pi = 3.1415926;
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double lower, upper;
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unsigned seed;
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char rand;
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AtsRandState state;
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long diff_binary, diff_binary_inv;
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int l,i,j;
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IplImage *imBinary, *imBinary_inv, *imTo_zero, *imTo_zero_inv, *imInput, *imOutput;
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CvSize size;
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int code = TRS_OK;
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// read tests params
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if(!trsiRead( &width, "128", "image width" ))
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return TRS_UNDEF;
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if(!trsiRead( &height, "128", "image height" ))
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return TRS_UNDEF;
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// initialized image
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l = width*height*sizeof(uchar);
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cp = (CvPoint*) trsmAlloc(nPoints2*sizeof(CvPoint));
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xc = (int)( width/2.);
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yc = (int)( height/2.);
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kp = nPoints2;
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size.width = width;
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size.height = height;
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int xmin = width;
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int ymin = height;
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int xmax = 0;
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int ymax = 0;
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for(i=0;i<nPoints2;i++)
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{
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cp[i].x = (int)(a2*cos(2*pi*i/nPoints2)*cos(2*pi*fi/360.))-
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(int)(b2*sin(2*pi*i/nPoints2)*sin(2*pi*fi/360.))+xc;
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if(xmin> cp[i].x) xmin = cp[i].x;
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if(xmax< cp[i].x) xmax = cp[i].x;
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cp[i].y = (int)(a2*cos(2*pi*i/nPoints2)*sin(2*pi*fi/360.))+
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(int)(b2*sin(2*pi*i/nPoints2)*cos(2*pi*fi/360.))+yc;
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if(ymin> cp[i].y) ymin = cp[i].y;
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if(ymax< cp[i].y) ymax = cp[i].y;
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}
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if(xmax>width||xmin<0||ymax>height||ymin<0) return TRS_FAIL;
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// IPL image moment calculation
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// create image
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imBinary = cvCreateImage( size, 8, 1 );
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imBinary_inv = cvCreateImage( size, 8, 1 );
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imTo_zero = cvCreateImage( size, 8, 1 );
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imTo_zero_inv = cvCreateImage( size, 8, 1 );
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imOutput = cvCreateImage( size, 8, 1 );
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imInput = cvCreateImage( size, 8, 1 );
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int bgrn = 50;
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int signal = 150;
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memset(imInput->imageData,bgrn,l);
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cvFillPoly(imInput, &cp, &kp, 1, cvScalarAll(signal));
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// do noise
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upper = 22;
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lower = -upper;
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seed = 345753;
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atsRandInit( &state, lower, upper, seed );
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uchar *input = (uchar*)imInput->imageData;
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uchar *binary = (uchar*)imBinary->imageData;
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uchar *binary_inv = (uchar*)imBinary_inv->imageData;
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uchar *to_zero = (uchar*)imTo_zero->imageData;
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uchar *to_zero_inv = (uchar*)imTo_zero_inv->imageData;
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double *parameter = (double*)trsmAlloc(2*sizeof(double));
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int step = imInput->widthStep;
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for(i = 0; i<size.height; i++, input+=step, binary+=step, binary_inv+=step, to_zero+=step,to_zero_inv+=step)
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{
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for(j = 0; j<size.width; j++)
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{
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atsbRand8s( &state, &rand, 1);
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if(input[j] == bgrn)
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{
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binary[j] = to_zero[j] = (uchar)0;
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binary_inv[j] = (uchar)255;
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to_zero_inv[j] = input [j] = (uchar)(bgrn + rand);
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}
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else
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{
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binary[j] = (uchar)255;
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binary_inv[j] = to_zero_inv[j] = (uchar)0;
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to_zero[j] = input[j] = (uchar)(signal + rand);
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}
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}
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}
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cvAdaptiveThreshold( imInput, imOutput, (double)255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY, parameter1, parameter2 );
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diff_binary = atsCompare1Db( (uchar*)imOutput->imageData, (uchar*)imBinary->imageData, l, 5);
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cvAdaptiveThreshold( imInput, imOutput, (double)255, CV_ADAPTIVE_THRESH_MEAN_C, CV_THRESH_BINARY_INV, parameter1, parameter2 );
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diff_binary_inv = atsCompare1Db( (uchar*)imOutput->imageData, (uchar*)imBinary_inv->imageData, l, 5);
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if( diff_binary > 5 || diff_binary_inv > 5 )
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code = TRS_FAIL;
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cvReleaseImage(&imInput);
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cvReleaseImage(&imOutput);
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cvReleaseImage(&imBinary);
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cvReleaseImage(&imBinary_inv);
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cvReleaseImage(&imTo_zero);
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cvReleaseImage(&imTo_zero_inv);
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trsWrite( ATS_CON | ATS_LST | ATS_SUM, "diff_binary =%ld \n", diff_binary);
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trsWrite( ATS_CON | ATS_LST | ATS_SUM, "diff_binary_inv =%ld \n", diff_binary_inv);
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trsFree(parameter);
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trsFree(cp);
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return code;
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}
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void InitAAdaptThreshold( void )
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{
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/* Test Registartion */
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trsReg(cFuncName,cTestName,cTestClass,aAdaptThreshold);
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} /* InitAAdaptThreshold */
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#endif
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/* End of file. */
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