TY  - JOUR
T1  - Digital Image Analysis of Algae Morphology During Lifecycle Using Active Contour
AU - Sultana, Sabeeha AU - Basha, Mohammad 
JO  - International Journal of Soft Computing
VL  - 16
IS  - 2
SP  - 20
EP  - 24
PY  - 2021
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2021.20.24
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2021.20.24
KW  - Cyanobacteria
KW  -algae
KW  -growth phases
KW  -cell segmentation
KW  -fuzzy inference system
AB  - The main aim of the present study is to develop
an automatic tool to identify and classify the growth stage
of the microalgae cell based on morphological growth
pattern and also the division time of the individual cell of
microalgae population. The proposed strategy is to
capture digital images of the microalgae cell growing on
culture media and to examine the change in dimensions of
each cell throughout life cycle. To identify geometrical
features that are used in estimating the microalgae cell
properties which are helpful for time determination during
cell division. The segmentation method used, here is
active contour and classification is done using fuzzy
inference system and decision trees. The experimental
results are compared with manual results obtained by
phycologist and demonstrate the efficiency of the system.
ER  -