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+////////////////////////////////////////////////////////
+//
+// GEM - Graphics Environment for Multimedia
+//
+// zmoelnig@iem.kug.ac.at
+//
+// Implementation file
+//
+// Copyright (c) 1997-2000 Mark Danks.
+// Copyright (c) Günther Geiger.
+// Copyright (c) 2001-2002 IOhannes m zmoelnig. forum::für::umläute. IEM
+// Copyright (c) 2002 James Tittle & Chris Clepper
+// For information on usage and redistribution, and for a DISCLAIMER OF ALL
+// WARRANTIES, see the file, "GEM.LICENSE.TERMS" in this distribution.
+//
+/////////////////////////////////////////////////////////
+
+#include "pix_opencv_contours_boundingrect.h"
+
+CPPEXTERN_NEW(pix_opencv_contours_boundingrect)
+
+/////////////////////////////////////////////////////////
+//
+// pix_opencv_contours_boundingrect
+//
+/////////////////////////////////////////////////////////
+// Constructor
+//
+/////////////////////////////////////////////////////////
+pix_opencv_contours_boundingrect :: pix_opencv_contours_boundingrect()
+{
+ inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("minarea"));
+ inlet_new(this->x_obj, &this->x_obj->ob_pd, gensym("float"), gensym("maxarea"));
+ m_dataout = outlet_new(this->x_obj, 0);
+ minarea = 1;
+ maxarea = 320*240;
+ comp_xsize = 0;
+ comp_ysize = 0;
+ orig = NULL;
+ gray = NULL;
+ cnt_img = NULL;
+ rgb = NULL;
+
+}
+
+/////////////////////////////////////////////////////////
+// Destructor
+//
+/////////////////////////////////////////////////////////
+pix_opencv_contours_boundingrect :: ~pix_opencv_contours_boundingrect()
+{
+ //Destroy cv_images to clean memory
+ cvReleaseImage(&orig);
+ cvReleaseImage(&gray);
+ cvReleaseImage(&cnt_img);
+ cvReleaseImage(&rgb);
+}
+
+/////////////////////////////////////////////////////////
+// processImage
+//
+/////////////////////////////////////////////////////////
+void pix_opencv_contours_boundingrect :: processRGBAImage(imageStruct &image)
+{
+ unsigned char *pixels = image.data;
+
+ if ((this->comp_xsize!=image.xsize)||(this->comp_ysize!=image.ysize)||(!orig)) {
+
+ this->comp_xsize = image.xsize;
+ this->comp_ysize = image.ysize;
+
+ //Destroy cv_images to clean memory
+ cvReleaseImage(&orig);
+ cvReleaseImage(&gray);
+ cvReleaseImage(&cnt_img);
+ cvReleaseImage(&rgb);
+
+ //create the orig image with new size
+ orig = cvCreateImage(cvSize(image.xsize,image.ysize), IPL_DEPTH_8U, 4);
+
+ // Create the output images with new sizes
+ rgb = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 3);
+ cnt_img = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 3);
+
+ gray = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 1);
+
+ }
+ // Here we make a copy of the pixel data from image to orig->imageData
+ // orig is a IplImage struct, the default image type in openCV, take a look on the IplImage data structure here
+ // http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html
+ memcpy( orig->imageData, image.data, image.xsize*image.ysize*4 );
+
+ // Convert to grayscale
+ cvCvtColor(orig, gray, CV_RGBA2GRAY);
+
+ CvSeq* contours;
+ CvMemStorage* stor02;
+ stor02 = cvCreateMemStorage(0);
+
+ cvFindContours( gray, stor02, &contours, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
+ if (contours) contours = cvApproxPoly( contours, sizeof(CvContour), stor02, CV_POLY_APPROX_DP, 3, 1 );
+
+
+ int i = 0; // Indicator of cycles.
+ for( ; contours != 0; contours = contours->h_next )
+ {
+ int count = contours->total; // This is number point in contour
+ CvRect rect;
+
+ rect = cvContourBoundingRect( contours, 1);
+ if ( ( (rect.width*rect.height) > minarea ) && ( (rect.width*rect.height) < maxarea ) ) {
+ cvRectangle( orig, cvPoint(rect.x,rect.y), cvPoint(rect.x+rect.width,rect.y+rect.height), CV_RGB(255,0,0), 2, 8 , 0 );
+
+ t_atom rlist[4];
+ SETFLOAT(&rlist[0], i);
+ SETFLOAT(&rlist[1], rect.x);
+ SETFLOAT(&rlist[2], rect.y);
+ SETFLOAT(&rlist[3], rect.width);
+ SETFLOAT(&rlist[4], rect.height);
+
+ outlet_list( m_dataout, 0, 5, rlist );
+ i++;
+ }
+
+ }
+
+ cvReleaseMemStorage( &stor02 );
+
+
+ //copy back the processed frame to image
+ memcpy( image.data, orig->imageData, image.xsize*image.ysize*4 );
+}
+
+void pix_opencv_contours_boundingrect :: processRGBImage(imageStruct &image)
+{
+ unsigned char *pixels = image.data;
+
+ if ((this->comp_xsize!=image.xsize)||(this->comp_ysize!=image.ysize)||(!rgb)) {
+
+ this->comp_xsize = image.xsize;
+ this->comp_ysize = image.ysize;
+
+ //Destroy cv_images to clean memory
+ cvReleaseImage(&orig);
+ cvReleaseImage(&gray);
+ cvReleaseImage(&cnt_img);
+ cvReleaseImage(&rgb);
+
+ //create the orig image with new size
+ rgb = cvCreateImage(cvSize(image.xsize,image.ysize), IPL_DEPTH_8U, 3);
+
+ // Create the output images with new sizes
+ cnt_img = cvCreateImage(cvSize(rgb->width,rgb->height), IPL_DEPTH_8U, 3);
+
+ gray = cvCreateImage(cvSize(rgb->width,rgb->height), IPL_DEPTH_8U, 1);
+
+ }
+ // FEM UNA COPIA DEL PACKET A image->imageData ... http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html aqui veiem la estructura de IplImage
+ memcpy( rgb->imageData, image.data, image.xsize*image.ysize*3 );
+
+ // Convert to grayscale
+ cvCvtColor(rgb, gray, CV_RGB2GRAY);
+
+ CvSeq* contours;
+ CvMemStorage* stor02;
+ stor02 = cvCreateMemStorage(0);
+
+ cvFindContours( gray, stor02, &contours, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
+ if (contours) contours = cvApproxPoly( contours, sizeof(CvContour), stor02, CV_POLY_APPROX_DP, 3, 1 );
+
+
+ int i = 0; // Indicator of cycles.
+ for( ; contours != 0; contours = contours->h_next )
+ {
+ int count = contours->total; // This is number point in contour
+ CvRect rect;
+
+ rect = cvContourBoundingRect( contours, 1);
+ if ( ( (rect.width*rect.height) > minarea ) && ( (rect.width*rect.height) < maxarea ) ) {
+ cvRectangle( rgb, cvPoint(rect.x,rect.y), cvPoint(rect.x+rect.width,rect.y+rect.height), CV_RGB(255,0,0), 2, 8 , 0 );
+
+ t_atom rlist[4];
+ SETFLOAT(&rlist[0], i);
+ SETFLOAT(&rlist[1], rect.x);
+ SETFLOAT(&rlist[2], rect.y);
+ SETFLOAT(&rlist[3], rect.width);
+ SETFLOAT(&rlist[4], rect.height);
+
+ outlet_list( m_dataout, 0, 5, rlist );
+ i++;
+ }
+
+ }
+
+ cvReleaseMemStorage( &stor02 );
+
+
+ //cvShowImage(wndname, cedge);
+ memcpy( image.data, rgb->imageData, image.xsize*image.ysize*3 );
+}
+
+void pix_opencv_contours_boundingrect :: processYUVImage(imageStruct &image)
+{
+}
+
+void pix_opencv_contours_boundingrect :: processGrayImage(imageStruct &image)
+{
+
+ if ((this->comp_xsize!=image.xsize)||(this->comp_ysize!=image.ysize)||(!orig)) {
+
+ this->comp_xsize = image.xsize;
+ this->comp_ysize = image.ysize;
+
+ //Destroy cv_images to clean memory
+ cvReleaseImage(&orig);
+ cvReleaseImage(&gray);
+ cvReleaseImage(&cnt_img);
+ cvReleaseImage(&rgb);
+
+ //create the orig image with new size
+ orig = cvCreateImage(cvSize(image.xsize,image.ysize), IPL_DEPTH_8U, 4);
+
+ // Create the output images with new sizes
+ rgb = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 3);
+ cnt_img = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 3);
+
+ gray = cvCreateImage(cvSize(orig->width,orig->height), IPL_DEPTH_8U, 1);
+
+ }
+ // Here we make a copy of the pixel data from image to orig->imageData
+ // orig is a IplImage struct, the default image type in openCV, take a look on the IplImage data structure here
+ // http://www.cs.iit.edu/~agam/cs512/lect-notes/opencv-intro/opencv-intro.html
+ memcpy( gray->imageData, image.data, image.xsize*image.ysize );
+
+
+ CvSeq* contours;
+ CvMemStorage* stor02;
+ stor02 = cvCreateMemStorage(0);
+
+ cvFindContours( gray, stor02, &contours, sizeof(CvContour), CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, cvPoint(0,0) );
+ if (contours) contours = cvApproxPoly( contours, sizeof(CvContour), stor02, CV_POLY_APPROX_DP, 3, 1 );
+
+
+ int i = 0; // Indicator of cycles.
+ for( ; contours != 0; contours = contours->h_next )
+ {
+ int count = contours->total; // This is number point in contour
+ CvRect rect;
+
+ rect = cvContourBoundingRect( contours, 1);
+ if ( ( (rect.width*rect.height) > minarea ) && ( (rect.width*rect.height) < maxarea ) ) {
+ cvRectangle( gray, cvPoint(rect.x,rect.y), cvPoint(rect.x+rect.width,rect.y+rect.height), CV_RGB(255,0,0), 2, 8 , 0 );
+
+ t_atom rlist[4];
+ SETFLOAT(&rlist[0], i);
+ SETFLOAT(&rlist[1], rect.x);
+ SETFLOAT(&rlist[2], rect.y);
+ SETFLOAT(&rlist[3], rect.width);
+ SETFLOAT(&rlist[4], rect.height);
+
+ outlet_list( m_dataout, 0, 5, rlist );
+ i++;
+ }
+
+ }
+
+ cvReleaseMemStorage( &stor02 );
+
+
+ //copy back the processed frame to image
+ memcpy( image.data, gray->imageData, image.xsize*image.ysize );
+}
+
+/////////////////////////////////////////////////////////
+// floatThreshMess
+//
+/////////////////////////////////////////////////////////
+void pix_opencv_contours_boundingrect :: floatMinAreaMess (float minarea)
+{
+ if (minarea>0) this->minarea = (int)minarea;
+}
+void pix_opencv_contours_boundingrect :: floatMaxAreaMess (float maxarea)
+{
+ if (maxarea>0) this->maxarea = (int)maxarea;
+}
+
+/////////////////////////////////////////////////////////
+// static member function
+//
+/////////////////////////////////////////////////////////
+void pix_opencv_contours_boundingrect :: obj_setupCallback(t_class *classPtr)
+{
+ class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatMinAreaMessCallback,
+ gensym("minarea"), A_FLOAT, A_NULL);
+ class_addmethod(classPtr, (t_method)&pix_opencv_contours_boundingrect::floatMaxAreaMessCallback,
+ gensym("maxarea"), A_FLOAT, A_NULL);
+}
+void pix_opencv_contours_boundingrect :: floatMaxAreaMessCallback(void *data, t_floatarg maxarea)
+{
+ GetMyClass(data)->floatMaxAreaMess((float)maxarea);
+}
+void pix_opencv_contours_boundingrect :: floatMinAreaMessCallback(void *data, t_floatarg minarea)
+{
+ GetMyClass(data)->floatMinAreaMess((float)minarea);
+}
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