/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // 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. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "_cvaux.h" #define CV_MAX2( a, b ) ((a)>(b) ? (a) : (b)) #define CV_MIN2( a, b ) ((a)<(b) ? (a) : (b)) /****************************************************************************************\ create hand mask \****************************************************************************************/ static CvStatus icvCreateHandMask8uC1R(CvSeq * numbers, uchar * image_mask, int step, CvSize size, CvRect * roi ) { CvSeqReader reader; CvPoint pt; int k_point; int i_min, i_max, j_min, j_max; if( numbers == NULL ) return CV_NULLPTR_ERR; if( !CV_IS_SEQ_POINT_SET( numbers )) return CV_BADFLAG_ERR; i_max = j_max = 0; i_min = size.height; j_min = size.width; cvStartReadSeq( numbers, &reader, 0 ); k_point = numbers->total; assert( k_point > 0 ); if( k_point <= 0 ) return CV_BADSIZE_ERR; memset( image_mask, 0, step * size.height ); while( k_point-- > 0 ) { CV_READ_SEQ_ELEM( pt, reader ); i_min = CV_MIN2( i_min, pt.y ); i_max = CV_MAX2( i_max, pt.y ); j_min = CV_MIN2( j_min, pt.x ); j_max = CV_MAX2( j_max, pt.x ); *(image_mask + pt.y * step + pt.x) = 255; } roi->x = j_min; roi->y = i_min; roi->width = j_max - j_min + 1; roi->height = i_max - i_min + 1; return CV_OK; } /*F/////////////////////////////////////////////////////////////////////////////////////// // Name: cvCreateHandMask // Purpose: creates hand mask image // Context: // Parameters: // numbers - pointer to the input sequence of the point's indexes inside // hand region // img_mask - pointer to the result mask image // roi - result hand mask ROI // // Notes: //F*/ CV_IMPL void cvCreateHandMask( CvSeq * numbers, IplImage * img_mask, CvRect * roi ) { uchar *img_mask_data = 0; int img_mask_step = 0; CvSize img_mask_size; CV_FUNCNAME( "cvCreateHandMask" ); __BEGIN__; if( img_mask->depth != IPL_DEPTH_8U ) CV_ERROR( CV_BadDepth, cvUnsupportedFormat ); if( img_mask->nChannels != 1 ) CV_ERROR( CV_BadNumChannels, "output image have wrong number of channels" ); cvGetImageRawData( img_mask, &img_mask_data, &img_mask_step, &img_mask_size ); IPPI_CALL( icvCreateHandMask8uC1R( numbers, img_mask_data, img_mask_step, img_mask_size, roi )); __END__; }