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Shape Retrieval using the Voting Number based on Rearranged Hough Transform

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSEIA) 바로가기
  • 간행물
    International Journal of Software Engineering and Its Applications SCOPUS 바로가기
  • 통권
    Vol.8 No.3 (2014.03)바로가기
  • 페이지
    pp.189-202
  • 저자
    Youngeun An, Jongan Park, Younghun Lee, Gukjeong Kim, Jonghun Chun
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A218540

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원문정보

초록

영어
In order to manage and retrieve images from a large database based on multi-media content features, the features should have enough differentiation and be invariant to expansion, movement, and rotation. Content features include information on colors, shapes, textures, and movement. In particular, as human eyesight is sensitive to shape information as well as illumination or color in early judgments on objects, there have been a number of studies on the detection of objects. Therefore, this study proposed a new algorithm where noise invariability is added to the existing standard Hough transform which is applied for recognition of shape.For the order of movement, first, feature points are extracted through the standard Hough transform from a query image. Second, the numbers of lines which pass through each of the feature points are voted on and the voting numbers are rearranged according to size. Third, labels for the voting numbers are clustered and normalized to compose a feature table. In the simulation of the image retrieval system using a voting numberbased rearrangement Hough transform, a variety of images with different sizes were analyzed. As a result of the analysis, it was discovered that the weak point was that this transform was sensitive to rotation, expansion, and reduction. If the algorithm used in the standard Hough transform was complemented, it could improve recall and precision greatly in image retrieval.

목차

Abstract
 1. Introduction
 2. Houghtransform
  2.1. Standard Hough Transform
  2.2. The Problems of the Hough Transform
 3. Design of the Voting Number based on Rearranged Hough Transform Algorithm
 4. Simulation and Analyzed
 5. Conclusion
 Acknowledgements
 References

키워드

Houghtransform Voting number SBIR Rearranged

저자

  • Youngeun An [ Chosun College of Science & Technology, Chosun University, Hannam University andJeonnam Provincial College ]
  • Jongan Park [ Chosun College of Science & Technology, Chosun University, Hannam University andJeonnam Provincial College ]
  • Younghun Lee [ Chosun College of Science & Technology, Chosun University, Hannam University andJeonnam Provincial College ]
  • Gukjeong Kim [ Chosun College of Science & Technology, Chosun University, Hannam University andJeonnam Provincial College ]
  • Jonghun Chun [ Chosun College of Science & Technology, Chosun University, Hannam University andJeonnam Provincial College ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Software Engineering and Its Applications
  • 간기
    월간
  • pISSN
    1738-9984
  • 수록기간
    2008~2016
  • 등재여부
    SCOPUS
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.8 No.3

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