| /*M/////////////////////////////////////////////////////////////////////////////////////// |
| // |
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| // |
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| // copy or use the software. |
| // |
| // |
| // Intel License Agreement |
| // For Open Source Computer Vision Library |
| // |
| // Copyright (C) 2000, Intel Corporation, all rights reserved. |
| // Third party copyrights are property of their respective owners. |
| // |
| // Redistribution and use in source and binary forms, with or without modification, |
| // are permitted provided that the following conditions are met: |
| // |
| // * Redistribution's of source code must retain the above copyright notice, |
| // this list of conditions and the following disclaimer. |
| // |
| // * Redistribution's in binary form must reproduce the above copyright notice, |
| // this list of conditions and the following disclaimer in the documentation |
| // and/or other materials provided with the distribution. |
| // |
| // * The name of Intel Corporation may not be used to endorse or promote products |
| // derived from this software without specific prior written permission. |
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| // This software is provided by the copyright holders and contributors "as is" and |
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| // |
| //M*/ |
| |
| #include "_cv.h" |
| |
| static void |
| icvAdaptiveThreshold_MeanC( const CvMat* src, CvMat* dst, int method, |
| int maxValue, int type, int size, double delta ) |
| { |
| CvMat* mean = 0; |
| CV_FUNCNAME( "icvAdaptiveThreshold_MeanC" ); |
| |
| __BEGIN__; |
| |
| int i, j, rows, cols; |
| int idelta = type == CV_THRESH_BINARY ? cvCeil(delta) : cvFloor(delta); |
| uchar tab[768]; |
| |
| if( size <= 1 || (size&1) == 0 ) |
| CV_ERROR( CV_StsOutOfRange, "Neighborhood size must be >=3 and odd (3, 5, 7, ...)" ); |
| |
| if( maxValue < 0 ) |
| { |
| CV_CALL( cvSetZero( dst )); |
| EXIT; |
| } |
| |
| rows = src->rows; |
| cols = src->cols; |
| |
| if( src->data.ptr != dst->data.ptr ) |
| mean = dst; |
| else |
| CV_CALL( mean = cvCreateMat( rows, cols, CV_8UC1 )); |
| |
| CV_CALL( cvSmooth( src, mean, method == CV_ADAPTIVE_THRESH_MEAN_C ? |
| CV_BLUR : CV_GAUSSIAN, size, size )); |
| if( maxValue > 255 ) |
| maxValue = 255; |
| |
| if( type == CV_THRESH_BINARY ) |
| for( i = 0; i < 768; i++ ) |
| tab[i] = (uchar)(i - 255 > -idelta ? maxValue : 0); |
| else |
| for( i = 0; i < 768; i++ ) |
| tab[i] = (uchar)(i - 255 <= -idelta ? maxValue : 0); |
| |
| for( i = 0; i < rows; i++ ) |
| { |
| const uchar* s = src->data.ptr + i*src->step; |
| const uchar* m = mean->data.ptr + i*mean->step; |
| uchar* d = dst->data.ptr + i*dst->step; |
| |
| for( j = 0; j < cols; j++ ) |
| d[j] = tab[s[j] - m[j] + 255]; |
| } |
| |
| __END__; |
| |
| if( mean != dst ) |
| cvReleaseMat( &mean ); |
| } |
| |
| |
| CV_IMPL void |
| cvAdaptiveThreshold( const void *srcIm, void *dstIm, double maxValue, |
| int method, int type, int blockSize, double param1 ) |
| { |
| CvMat src_stub, dst_stub; |
| CvMat *src = 0, *dst = 0; |
| |
| CV_FUNCNAME( "cvAdaptiveThreshold" ); |
| |
| __BEGIN__; |
| |
| if( type != CV_THRESH_BINARY && type != CV_THRESH_BINARY_INV ) |
| CV_ERROR( CV_StsBadArg, "Only CV_TRESH_BINARY and CV_THRESH_BINARY_INV " |
| "threshold types are acceptable" ); |
| |
| CV_CALL( src = cvGetMat( srcIm, &src_stub )); |
| CV_CALL( dst = cvGetMat( dstIm, &dst_stub )); |
| |
| if( !CV_ARE_CNS_EQ( src, dst )) |
| CV_ERROR( CV_StsUnmatchedFormats, "" ); |
| |
| if( CV_MAT_TYPE(dst->type) != CV_8UC1 ) |
| CV_ERROR( CV_StsUnsupportedFormat, "" ); |
| |
| if( !CV_ARE_SIZES_EQ( src, dst ) ) |
| CV_ERROR( CV_StsUnmatchedSizes, "" ); |
| |
| switch( method ) |
| { |
| case CV_ADAPTIVE_THRESH_MEAN_C: |
| case CV_ADAPTIVE_THRESH_GAUSSIAN_C: |
| CV_CALL( icvAdaptiveThreshold_MeanC( src, dst, method, cvRound(maxValue),type, |
| blockSize, param1 )); |
| break; |
| default: |
| CV_ERROR( CV_BADCOEF_ERR, "" ); |
| } |
| |
| __END__; |
| } |
| |
| /* End of file. */ |