Effective Object Recognition based on Physical Theory in Medical Image Processing

의료 영상처리에서의 물리적 이론을 활용한 객체 유효 인식 방법

  • 은성종 (가천대학교 전자계산학과) ;
  • 황보택근 (가천대학교 IT대학 인터랙티브미디어학과)
  • Received : 2012.11.01
  • Accepted : 2012.12.05
  • Published : 2012.12.28


In medical image processing field, object recognition is usually processed based on region segmentation algorithm. Region segmentation in the computing field is carried out by computerized processing of various input information such as brightness, shape, and pattern analysis. If the information mentioned does not make sense, however, many limitations could occur with region segmentation during computer processing. Therefore, this paper suggests effective region segmentation method based on R2-map information within the magnetic resonance (MR) theory. In this study, the experiment had been conducted using images including the liver region and by setting up feature points of R2-map as seed points for 2D region growing and final boundary correction to enable region segmentation even when the border line was not clear. As a result, an average area difference of 7.5%, which was higher than the accuracy of conventional exist region segmentation algorithm, was obtained.


MRI;MR Theory;R2-map;Effective Object Recognition;Liver Segmentation


Supported by : 정보통신산업진흥원


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