Presentation + Paper
24 October 2016 Multi-agent system for line detection on images
Author Affiliations +
Proceedings Volume 9997, Target and Background Signatures II; 99970M (2016) https://doi.org/10.1117/12.2241983
Event: SPIE Security + Defence, 2016, Edinburgh, United Kingdom
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.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris A. Alpatov, Pavel V. Babayan, and Nikita Yu. Shubin "Multi-agent system for line detection on images", Proc. SPIE 9997, Target and Background Signatures II, 99970M (24 October 2016); https://doi.org/10.1117/12.2241983
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Algorithm development

Radon transform

Detection and tracking algorithms

Image filtering

Image processing

Image processing algorithms and systems

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