
Polygonal Approximation of Digital Curves to Preserve Original Shapes
Author(s) -
Lee Daeho,
Lee SeungGwan
Publication year - 2010
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.10.0210.0024
Subject(s) - point (geometry) , measure (data warehouse) , set (abstract data type) , mathematics , algorithm , computer science , geometry , artificial intelligence , computer vision , data mining , programming language
In this letter, we propose a novel polygonal approximation of digital curves that preserve original shapes. The proposed method first detects break points, which have two different consecutive vectors, and sets an initial dominant point set. The approximation is then performed iteratively by deleting a dominant point using a novel distance, which can measure both the distance and the angle acuteness. The experimental results show that the proposed method can preserve original shapes and is appropriate for various shapes, including slabsided shapes.