Automatic detection and counting of circular and rectangular steel bars

Muhammad Faiz Ghazali, Lai Kuan Wong, John See

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The steel industry heavily relies on manual labor and the use of photoelectric sensors and complex counting machines to count steel bars. In the last decade, research on the automatic detection and counting of steel bars by using image processing and computer vision techniques have seen much progress. Nevertheless, most of past research focused mainly on circular shaped steel bars from a direct frontal camera angle. In this paper, we propose a method that is adaptable to both circular and rectangular shaped steel bars, and robust towards different camera angles and lighting intensity. The captured digital image first undergoes an essential pre-processing stage followed by edge detection which extracts the steel bar edges. For circular shaped steel bars, we apply Hough Transform followed by a post-process while the rectangular ones can be accurately found based on a series of morphological operations. Experiments conducted on a variety of challenging conditions demonstrate the capability of our approach to a good measure of success.

Original languageEnglish
Title of host publication9th International Conference on Robotic, Vision, Signal Processing and Power Applications
EditorsHaidi Ibrahim, Shahid Iqbal, Soo Siang Teoh, Mohd Mustaffa
PublisherSpringer
Pages199-207
Number of pages9
ISBN (Electronic)9789811017216
ISBN (Print)9789811017193
DOIs
Publication statusPublished - 30 Sep 2016
Event9th International Conference on Robotic, Vision, Signal Processing and Power Applications 2016 - , Malaysia
Duration: 2 Feb 20163 Feb 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume398
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference9th International Conference on Robotic, Vision, Signal Processing and Power Applications 2016
Abbreviated titleRoViSP 2016
Country/TerritoryMalaysia
Period2/02/163/02/16

Keywords

  • Circular steel bar
  • Rectangular steel bar
  • Steel bar counting
  • Steel bar detection

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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