한국콘텐츠학회:학술대회논문집 (Proceedings of the Korea Contents Association Conference)
- 한국콘텐츠학회 2004년도 추계 종합학술대회 논문집
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- Pages.505-510
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- 2004
Efficient CT Image Segmentation Algorithm Using both Spatial and Temporal Information
- Lee, Sang-Bock (Department of Radiology, Nambu University) ;
- Lee, Jun-Haeng (Department of Radiology, Nambu University) ;
- Lee, Samyol (Department of Radiology, Nambu University)
- 발행 : 2004.11.05
초록
This paper suggests a new CT-image segmentation algorithm. This algorithm uses morphological filters and the watershed algorithms. The proposed CT-image segmentation algorithm consists of six parts: preprocessing, image simplification, feature extraction, decision making, region merging, and postprocessing. By combining spatial and temporal information, we can get more accurate segmentation results. The simulation results illustrate not only the segmentation results of the conventional scheme but also the results of the proposed scheme; this comparison illustrates the efficacy of the proposed technique. Furthermore, we compare the various medical images of the structuring elements. Indeed, to illustrate the improvement of coding efficiency in postprocessing, we use differential chain coding for the shape coding of results.
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