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INCREMENTAL LOCAL HOUGH TRANSFORM FOR LINE SEGMENT EXTRACTION Rui F. C. Guerreiro, Pedro M. Q. Aguiar
 

Summary: INCREMENTAL LOCAL HOUGH TRANSFORM FOR LINE SEGMENT EXTRACTION
Rui F. C. Guerreiro, Pedro M. Q. Aguiar
Institute for Systems and Robotics / IST, Lisboa, Portugal
{rfcg,aguiar}@isr.ist.utl.pt
ABSTRACT
Although global voting schemes, such as the Hough Transform
(HT), have been widely used to robustly detect lines in images,
they fail when the line segments at hand are short, particularly if
the underlying edge maps are cluttered. Line segment detection
in these scenarios has been addressed using local methods, which
lack robustness to missing data (interrupted lines) and typically fail
when line segments cross. We propose a new method that tackles
these problems: first, rough estimates of plural candidate direc-
tions at each edge point are obtained through a directional local
HT; then, the parameters determining the line segments are globally
estimated by maximizing a quality measure that depends on all the
edge points. Our experiments illustrate that the proposed method
outperforms current methods in challenging situations.
Index Terms-- Line segment detection, Hough Transform
1. INTRODUCTION

  

Source: Aguiar, Pedro M. Q. - Institute for Systems and Robotics (Lisbon)

 

Collections: Engineering