mirror of
https://github.com/ruby-opencv/ruby-opencv
synced 2023-03-27 23:22:12 -04:00
87 lines
2 KiB
C++
87 lines
2 KiB
C++
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cvcontourtree.cpp -
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$Author: lsxi $
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Copyright (C) 2007 Masakazu Yonekura
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************************************************************/
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#include "cvcontour.h"
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/*
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* Document-class: OpenCV::CvContourTree
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*
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* Contour tree. CvContour#create_tree
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*
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* C structure is here.
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* typedef struct CvContourTree{
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* CV_SEQUENCE_FIELDS()
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* CvPoint p1;
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* CvPoint p2;
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* }CvContourTree;
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*
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*/
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__NAMESPACE_BEGIN_OPENCV
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__NAMESPACE_BEGIN_CVCONTOURTREE
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VALUE rb_klass;
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VALUE
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rb_class()
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{
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return rb_klass;
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}
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void
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define_ruby_class()
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{
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if (rb_klass)
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return;
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/*
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* opencv = rb_define_module("OpenCV");
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* cvseq = rb_define_class_under(opencv, "CvSeq");
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*
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* note: this comment is used by rdoc.
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*/
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VALUE opencv = rb_module_opencv();
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VALUE cvseq = cCvSeq::rb_class();
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rb_klass = rb_define_class_under(opencv, "CvContourTree", cvseq);
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rb_define_method(rb_klass, "p1", RUBY_METHOD_FUNC(rb_p1), 0);
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rb_define_method(rb_klass, "p2", RUBY_METHOD_FUNC(rb_p2), 0);
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rb_define_method(rb_klass, "contour", RUBY_METHOD_FUNC(rb_contour), 0);
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}
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VALUE
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rb_p1(VALUE self)
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{
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return REFER_OBJECT(cCvPoint::rb_class(), &CVCONTOURTREE(self)->p1, self);
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}
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VALUE
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rb_p2(VALUE self)
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{
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return REFER_OBJECT(cCvPoint::rb_class(), &CVCONTOURTREE(self)->p2, self);
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}
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/*
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* call-seq:
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* contour(<i>[criteria = 0]</i>) -> cvcontour
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*
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* Restores the contour from its binary tree representation.
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* The parameter criteria determines the accuracy and/or the number of tree levels
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* used for reconstruction, so it is possible to build approximated contour.
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*/
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VALUE
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rb_contour(int argc, VALUE *argv, VALUE self)
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{
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VALUE criteria, storage;
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rb_scan_args(argc, argv, "01", &criteria);
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CvSeq *contour = cvContourFromContourTree(CVCONTOURTREE(self), CVMEMSTORAGE(storage), VALUE_TO_CVTERMCRITERIA(criteria));
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return cCvSeq::new_sequence(cCvContour::rb_class(), contour, cCvPoint::rb_class(), storage);
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}
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__NAMESPACE_END_CVCONTOURTREE
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__NAMESPACE_END_OPENCV
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