Pre-processing Algorithm for Detection of Slab Information on Steel Process using Robust Feature Points extraction

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  • Choi, Jong-Hyun (ICSL, Electronic and Electrical Engineering, POSTECH) ;
  • Yun, Jong-Pil (ICSL, Electronic and Electrical Engineering, POSTECH) ;
  • Choi, Sung-Hoo (ICSL, Electronic and Electrical Engineering, POSTECH) ;
  • Koo, Keun-Hwi (ICSL, Electronic and Electrical Engineering, POSTECH) ;
  • Kim, Sang-Woo (ICSL, Electronic and Electrical Engineering, POSTECH)
  • 최종현 (포항공과대학교 전자전기공학과 지능제어시스템 연구실) ;
  • 윤종필 (포항공과대학교 전자전기공학과 지능제어시스템 연구실) ;
  • 최성후 (포항공과대학교 전자전기공학과 지능제어시스템 연구실) ;
  • 구근휘 (포항공과대학교 전자전기공학과 지능제어시스템 연구실) ;
  • 김상우 (포항공과대학교 전자전기공학과 지능제어시스템 연구실)
  • Published : 2008.07.16

Abstract

Steel slabs are marked with slab management numbers (SMNs). To increase efficiency, automated identification of SMNs from digital images is desirable. Automatic extraction of SMNs is a prerequisite for automatic character segmentation and recognition. The images include complex background, and the position of the text region of the slabs is variable. This paper describes an pre-processing algorithm for detection of slab information using robust feature points extraction. Using SIFT(Scale Invariant Feature Transform) algorithm, we can reduce the search region for extraction of SMNs from the slab image.

Keywords