Proceedings of the Korean Information Science Society Conference (한국정보과학회:학술대회논문집)

  • 2011.06c
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  • Pages.397-400
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  • 2011
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  • 1598-5164(pISSN)
Korean Institute of Information Scientists and Engineers (한국정보과학회)
권호 표지

Product Label Detection based on the Local Structure Tensor

구조 텐서 기반의 상품 라벨 검출

  • Chen, Yan-Juan (Department Electronics and Computer Engineering, Chonnam National University) ;
  • Lee, Myung-Eun (Department Electronics and Computer Engineering, Chonnam National University) ;
  • Kim, Soo-Hyung (Department Electronics and Computer Engineering, Chonnam National University)
  • 진연연 (전남대학교 전자컴퓨터공학부) ;
  • 이명은 (전남대학교 전자컴퓨터공학부) ;
  • 김수형 (전남대학교 전자컴퓨터공학부)
  • Published : 2011.06.29

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Abstract

In this paper, we propose an approach to detect the product label for mobile phone images based on saliency map and the local structure tensor. The object boundary information can be better described by the local structure tensor than other edge detectors, and the saliency map methods can find out the most salient area and shorten the computational time by reducing the size of the orignal image. Therefore, these two methods are considered for our product label detection. The experimental results show an acceptable performance based on our proposed approach.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea(NRF)