A method for identifying distribution pattern of cone cells in retina image

Ken'ichi Morooka, Yuanting Ji, Oscar Martinez Mozos, Tokuo Tsuji, Ryo Kurazume, Peter K. Ahnelt

研究成果: Chapter in Book/Report/Conference proceedingConference contribution


This paper proposes a method to identify the spatial distribution patterns of cone cells related with blood vessel in a given retina image. We define three types of the distribution patterns between cones and vessels. Positive correlation distribution (PCD) and negative correlation distribution (NCD) indicate that the cones tend to be close to or far from the vessels. While the cone cells do not have significant correlation with vessels, the cone distribution is regarded as the random distribution (RD). In our method, RD is modeled by many virtual retina images, each of which is generated by the vessels extracted from the original retina image and the virtual cells are selected randomly from the image. Using the virtual images, we estimate the distribution range of RD. When the distribution of the original cells is above the upper limit or below the lower limit of the RD distribution, the cell distribution is NCD or PCD. Otherwise, the cell distribution is regarded as RD.

ホスト出版物のタイトルWorld Automation Congress Proceedings
出版者IEEE Computer Society
出版物ステータス出版済み - 10 24 2014
イベント2014 World Automation Congress, WAC 2014 - Waikoloa, 米国
継続期間: 8 3 20148 7 2014


名前World Automation Congress Proceedings


その他2014 World Automation Congress, WAC 2014

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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  • これを引用

    Morooka, K., Ji, Y., Mozos, O. M., Tsuji, T., Kurazume, R., & Ahnelt, P. K. (2014). A method for identifying distribution pattern of cone cells in retina image. : World Automation Congress Proceedings (pp. 774-778). [6936144] (World Automation Congress Proceedings). IEEE Computer Society. https://doi.org/10.1109/WAC.2014.6936144