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http://dx.doi.org/10.5392/JKCA.2012.12.12.063

Effective Object Recognition based on Physical Theory in Medical Image Processing  

Eun, Sung-Jong (가천대학교 전자계산학과)
WhangBo, Taeg-Keun (가천대학교 IT대학 인터랙티브미디어학과)
Publication Information
The Journal of the Korea Contents Association / v.12, no.12, 2012 , pp. 63-70 More about this Journal
Abstract
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.
Keywords
MRI; MR Theory; R2-map; Effective Object Recognition; Liver Segmentation;
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