Details

Autor(en) / Beteiligte

• Takemoto, S.
• Mishima, T.
• Hirano, Y.
• Kimura, J.
• Tsumagari, S.
• Yokota, H.
• Nakamura, S.
• Himeno, R.
• Nambo, Y.

Titel

Semi-automated color segmentation from a biological cross-sectional image series: follicle segmentation from the equine ovary

Ist Teil von

• 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004, Vol.4, p.3076-3081 vol.4

Ort / Verlag

Piscataway NJ: IEEE

Erscheinungsjahr

2004

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• This paper proposes a semi-automatic segmentation method for the 3D-ISM system, which enables the capture of a high-resolution full-color cross sectional image series of a biological sample. Our approach is based on region-based segmentation and an adaptive classification technique by using the Otsu method, so it can be applied to an object like biological tissue, which has different colors by location. As a result, we have achieved to develop the method to decrease the degree of manual operation required. This paper also shows experimental results of applying our method to visualize the internal structure of the equine ovary. We have confirmed the spatial arrangement inside the ovary, which had not been revealed so far.