DOI QR코드

DOI QR Code

Navel Area Detection Based on Body Structure

신체의 구조를 기반으로 하는 배꼽 영역 검출

  • 장석우 (안양대학교 디지털미디어학과) ;
  • 허문행 (안양대학교 디지털미디어학과)
  • Received : 2014.10.13
  • Accepted : 2015.03.12
  • Published : 2015.03.31

Abstract

With the advance of the environment where we can get various multimedia contents, adult image detection has become an important issue these days. In this paper, we suggest a method of robustly detecting navel areas from input images which can be usefully utilized in adult image detection. The suggested algorithm first extracts face regions and extracts candidate nipple areas using a nipple map. Our method then selects only actual nipple regions by filtering candidate areas with geometrical features and an average nipple filter. Subsequently, the method robustly detects navel areas by using the structural relation with the nipple areas and applying edge and saturation images. Experimental results show that the suggested algorithm can effectively detect navel regions.

최근 들어, 유무선 인터넷을 통해서 자유롭게 멀티미디어 콘텐츠를 획득할 수 있는 환경이 도래됨과 더불어 유해 영상을 검출하는 작업 역시 매우 중요한 이슈가 되었다. 본 논문에서는 입력영상을 분석하여 유해영상 검출에 유용하게 사용될 수 있는 배꼽 영역을 강인하게 검출하는 알고리즘을 제안한다. 본 논문에서 제안된 방법에서는 먼저 입력영상으로부터 얼굴 영역을 찾은 다음, 유두 맵을 생성하여 유두의 후보영역을 검출한다. 그런 다음, 기하학적인 특징과 유두의 평균적인 색상필터를 사용하여 유두의 후보영역들을 두 단계로 필터링하여 실제적인 유두 영역만을 추출한다. 마지막으로, 찾아진 유두 영역과의 구조적인 관계, 그리고 에지 영상과 채도 영상을 통합하여 적용함으로써 입력영상으로부터 배꼽 영역을 강건하게 검출한다. 본 논문의 실험결과에서는 제안된 알고리즘이 배꼽 영역을 신뢰성 있게 검출한다는 것을 여러 가지 실험을 통해 보여준다.

Keywords

References

  1. J. Kim, N. Kim, D. Lee, S. Park, and S. Lee, "Watermarking Two Dimensional Data Object Identifier for Authenticated Distribution of Digital Multimedia Contents," Signal Processing: Image Communication, Vol. 25, No. 8, pp. 559-576, September 2010. DOI: http://dx.doi.org/10.1016/j.image.2010.07.004
  2. S.-W. Jang, Y.-J. Park, G.-Y. Kim, H.-I. Choi, M.-C. Hong, "An Adult Image Identification System Based on Robust Skin Segmentation," Journal of Imaging Science and Technology, Vol. 55. No. 2, pp. 020508-1-10, March 2011. DOI: http://dx.doi.org/10.2352/J.ImagingSci.Technol.2011.55.2.020508
  3. J.-S. Lee, Y.-M. Kuo, P.-C. Chung, and E-L. Chen, "Naked Image Detection Based on Adaptive and Extensible Skin Color Model," Pattern Recognition, Vol. 40, No. 8, pp. 2261-2270, August 2007. DOI: http://dx.doi.org/10.1016/j.patcog.2006.11.016
  4. L. Sui, J. Zhang, L. Zhuo, Y. C. Yang, "Research on Pornographic Images Recognition Method Based on Visual Words in a Compressed Domain," IET Image Processing, Vol. 6, pp. 87-93, 2012. DOI:http://dx.doi.org/10.1049/iet-ipr.2011.0005
  5. J.-L. Shih, C.-H. Lee, and C.-S. Yang, "An Adult Images Identification System Employing Image Retrieval Technique," Pattern Recognition Letters, Vol. 28, No. 16, pp. 2367-2374, December 2007. DOI: http://dx.doi.org/10.1016/j.patrec.2007.08.002
  6. S.-W. Jang, S.-I. Joo, G.-Y. Kim, "Active Shape Model-based Objectionable Images Detection," Journal of Korean Society for Internet Information, Vol. 10, No. 5, pp. 71-82, October 2009.
  7. L. Su, F. Zhang, and L. Ren, "An Adult Image Recognition Method Facing Practical Application," In Proc. of the International Symposium on Computational Intelligence and Design (ISCID), Vol. 2, pp. 273-276, 2013. DOI: http://dx.doi.org/10.1109/ISCID.2013.182
  8. R.-L. Hsu, M. Abdel-Mottaleb, and A. K. Jain, "Face Detection in Color Images," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, pp. 696-706, May 2002. DOI: http://dx.doi.org/10.1109/34.1000242
  9. S.-W. Jang, Y.-J. Park, and M.-H. Huh, "Detection of Harmful Images Based on Color and Geometrical Features," Journal of Korea Academia-Industrial Cooperation Society, Vol. 14, No. 11, pp. 5834-5840, November 2013 DOI: http://dx.doi.org/10.5762/KAIS.2013.14.11.5834
  10. M. Sezgin and B. Sankur, "Survey over Image Thresholding Techniques and Quantitative Performance Evaluation," Journal of Electronic Imaging, Vol. 13, No. 1, pp. 146-165, January 2004. DOI: http://dx.doi.org/10.1117/1.1631315
  11. S. Lou, X. Jiang, and P. J. Scott, "Algorithms for Morphological Profile Filters and Their Comparison," Precision Engineering, Vol. 36, No. 3, pp. 414-423, July 2012. DOI: http://dx.doi.org/10.1016/j.precisioneng.2012.01.003
  12. H.-I. Choi, Computer Vision, Hongrung Publishing Company, January 2013.