대한원격탐사학회:학술대회논문집 (Proceedings of the KSRS Conference)
- 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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- Pages.571-574
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- 2005
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- 1226-9743(pISSN)
AN EFFICIENT IMAGE SEGMENTATION TECHNIQUE TO IDENTIFY TARGET AREAS FROM LARGE-SIZED MONOCHROME IMAGES
- Yoon Young-Geun (School of Industrial and Information Systems Engineering, Hankuk University of Foreign Studies) ;
- Lee Seok-Lyong (School of Industrial and Information Systems Engineering, Hankuk University of Foreign Studies) ;
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park Ho-Hyun
(School of Electrical and Electronics Engineering, Chung-Ang University) ;
- Chung Chin-Wan (Division of Computer Science, KAIST)
- 발행 : 2005.10.01
초록
In this paper, we propose an efficient image segmentation technique for large-sized monochrome images using a hybrid approach which combines threshold and region-based techniques. First, an image is partitioned into fixed-size blocks and for each block the representative intensity is determined by averaging pixel intensities within the block. Next, the neighborhood blocks that have similar characteristics with respect to a specific threshold are merged in order to form candidate regions. Finally, those candidate regions are refined to get final target object regions by merging regions considering the spatial locality and certain criteria. We have performed experiments on images selected from various domains and showed that our technique was able to extract target object regions appropriately from most images.