/************************************************************ cvcontourtree.cpp - $Author: lsxi $ Copyright (C) 2007 Masakazu Yonekura ************************************************************/ #include "cvcontour.h" /* * Document-class: OpenCV::CvContourTree * * Contour tree. CvContour#create_tree * * C structure is here. * typedef struct CvContourTree{ * CV_SEQUENCE_FIELDS() * CvPoint p1; * CvPoint p2; * }CvContourTree; * */ __NAMESPACE_BEGIN_OPENCV __NAMESPACE_BEGIN_CVCONTOURTREE VALUE rb_klass; VALUE rb_class() { return rb_klass; } void define_ruby_class() { if (rb_klass) return; /* * opencv = rb_define_module("OpenCV"); * cvseq = rb_define_class_under(opencv, "CvSeq"); * * note: this comment is used by rdoc. */ VALUE opencv = rb_module_opencv(); VALUE cvseq = cCvSeq::rb_class(); rb_klass = rb_define_class_under(opencv, "CvContourTree", cvseq); rb_define_method(rb_klass, "p1", RUBY_METHOD_FUNC(rb_p1), 0); rb_define_method(rb_klass, "p2", RUBY_METHOD_FUNC(rb_p2), 0); rb_define_method(rb_klass, "contour", RUBY_METHOD_FUNC(rb_contour), 0); } VALUE rb_p1(VALUE self) { return REFER_OBJECT(cCvPoint::rb_class(), &CVCONTOURTREE(self)->p1, self); } VALUE rb_p2(VALUE self) { return REFER_OBJECT(cCvPoint::rb_class(), &CVCONTOURTREE(self)->p2, self); } /* * call-seq: * contour([criteria = 0]) -> cvcontour * * Restores the contour from its binary tree representation. * The parameter criteria determines the accuracy and/or the number of tree levels * used for reconstruction, so it is possible to build approximated contour. */ VALUE rb_contour(int argc, VALUE *argv, VALUE self) { VALUE criteria, storage; rb_scan_args(argc, argv, "01", &criteria); CvSeq *contour = cvContourFromContourTree(CVCONTOURTREE(self), CVMEMSTORAGE(storage), VALUE_TO_CVTERMCRITERIA(criteria)); return cCvSeq::new_sequence(cCvContour::rb_class(), contour, cCvPoint::rb_class(), storage); } __NAMESPACE_END_CVCONTOURTREE __NAMESPACE_END_OPENCV