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An Automatic ROI Extraction and Its Mask Generation based on Wavelet of Low DOF Image

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(3), pp.93-101
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

박순화 1 Seo Yeong Geon 1 LEE BU KWON 1 강기준 1 Kim, ho-yong 2 김형준 1 KimSangBok 1

1경상대학교
2영진전문대학

Accredited

ABSTRACT

This paper suggests a new algorithm automatically searching for Region-of-Interest(ROI) with high speed, using the edge information of high frequency subband transformed with wavelet. The proposed method executes a searching algorithm of 4-direction object boundary by the unit of block using the edge information, and detects ROIs. The whole image is splitted by 64X64 or 32X32 sized blocks and the blocks can be ROI block or background block according to taking the edges or not. The 4-directions searche the image from the outside to the center and the algorithm uses a feature that the low-DOF image has some edges as one goes to center. After searching all the edges, the method regards the inner blocks of the edges as ROI, and makes the ROI masks and sends them to server. This is one of the dynamic ROI method. The existing methods have had some problems of complicated filtering and region merge, but this method improved considerably the problems. Also, it was possible to apply to an application requiring real-time processing caused by the process of the unit of block.

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