Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.07a
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- Pages.196-199
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- 2002
Automatic Extraction of the Interest Organization from Full-Color Continuous Images for a Biological Sample
- Takemoto, Satoko (Department of Information and Computer Science, Saitama University) ;
- Yokota, Hideo (Department of Information and Computer Science, Saitama University) ;
- Shimai, Hiroyuki (Department of Information and Computer Science, Saitama University) ;
- Makinouchi, Akitake (Department of Information and Computer Science, Saitama University) ;
- Mishima, Taketoshi (Department of Information and Computer Science, Saitama University)
- Published : 2002.07.01
Abstract
We presented the automatic extraction technique of a biological internal organization from full-color continuous images. It was implemented using the localized homogeneousness of color intensity, and also using the continuity between neighboring images. Moreover, we set the "four-level status value" of area condition as a value showing "area possibility. This played important role of preventing a miss-judgement of area definition. These our approach had a beneficial effect on tracking color and shape change of the interest area in continuous extraction. As a resell we succeeded in extraction of mouse's stomach from continuous 50 images.
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