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Proceedings Paper

Multi-agent system for line detection on images
Author(s): Boris A. Alpatov; Pavel V. Babayan; Nikita Yu. Shubin
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Paper Abstract

Lines are one of the most informative structure elements on any images. For this reason, objects detection and recognition problems are often reduced to edge detection task. One of the most popular approaches to detect lines is based on the Hough transform or Radon transform.

However, using both of transforms allows estimating the infinite lines parameters only. It is necessary to use additional approaches to estimate the ends of the detected lines. Moreover, Radon transform does not allow detecting non-straight curve shapes at all. This work is oriented to solve line detection problem using Radon transform and multi-agent approach. The results of the experimental researches that confirm the effectiveness of the proposed approach are given. The real full HD image sequences are used. The direction of further improvements is proposed.

Paper Details

Date Published: 24 October 2016
PDF: 6 pages
Proc. SPIE 9997, Target and Background Signatures II, 99970M (24 October 2016); doi: 10.1117/12.2241983
Show Author Affiliations
Boris A. Alpatov, Ryazan State Radio Engineering Univ. (Russian Federation)
Pavel V. Babayan, Ryazan State Radio Engineering Univ. (Russian Federation)
Nikita Yu. Shubin, Ryazan State Radio Engineering Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9997:
Target and Background Signatures II
Karin U. Stein; Ric H. M. A. Schleijpen, Editor(s)

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