Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Recognition of Traffic Signs using Wavelet Transform and Shape Information

웨이블릿 변환과 형태 정보를 이용한 교통 표지판 인식

  • 오준택 (영남대학교 컴퓨터공학과) ;
  • 곽현욱 (영남대학교 전자정보공학부) ;
  • 김욱현 (영남대학교 전자정보공학부)
  • Published : 2004.09.01
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Abstract

This paper proposes a method for recognition of traffic signs using wavelet transform and shape information from the segmented traffic sign regions. It first segments traffic sign candidate regions by connected component algorithm from binary images, obtained by utilizing the RGB color ratio of each pixel in the image, and then extracts actual traffic sign regions based on their symmetries on X- and Y-axes. In the recognition stage, it utilizes shape information including moment edge correlogram and the number of crossings which concentric circular patterns from region center intersects with frequency information extracted by wavelet transform It finally performs recognition by measuring similarity with the templates in the database. The experimental results show the validity of the proposed method from geometric transformations and environmental factors.

본 논문은 분할한 교통 표지판 영역에 대해서 웨이블릿 변환과 형태 정보를 이용한 교통 표지판 인식 방법을 제안한다. 화소의 RGB 색상비를 이용하여 생성한 이진 영상에서 connected component algorithm에 의해 분할된 후보 영역들을 대상으로 형태 정보인 XY축 대칭성을 기반으로 교통 표지판 영역을 분할한다. 그리고 분할된 교통 표지판 영역에 대해서 웨이블릿 변환을 적용하여 얻은 주파수 성분을 기반으로 모멘트, 에지 코렐로 그램, 동심 원형 패턴 정보를 추출한 후, 사전에 구축한 데이터베이스와의 유사도 측정에 의해 인식을 수행한다. 실험 결과, 제안한 방법이 다양한 외부 환경이나 변환에 대해서 유효함을 보였다.

Keywords

References

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