TY - GEN
T1 - A method for identifying distribution pattern of cone cells in retina image
AU - Morooka, Ken'ichi
AU - Ji, Yuanting
AU - Mozos, Oscar Martinez
AU - Tsuji, Tokuo
AU - Kurazume, Ryo
AU - Ahnelt, Peter K.
N1 - Publisher Copyright:
© 2014 TSI Press.
PY - 2014/10/24
Y1 - 2014/10/24
N2 - 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.
AB - 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.
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U2 - 10.1109/WAC.2014.6936144
DO - 10.1109/WAC.2014.6936144
M3 - Conference contribution
AN - SCOPUS:84908876283
T3 - World Automation Congress Proceedings
SP - 774
EP - 778
BT - World Automation Congress Proceedings
PB - IEEE Computer Society
T2 - 2014 World Automation Congress, WAC 2014
Y2 - 3 August 2014 through 7 August 2014
ER -