  This research presents a study of a unique technique for identifying storm
eye that is based on fuzzy logic and image processing with the help of cloud
images. Fuzzy logic is a term that refers to complicated systems with unclear
behaviour caused by a number of different circumstances. It provides the
ability to model the dynamic behavior of the storm and determines the location
of the best eye in an area of interest. After that, image processing is applied
to enable accurate eye positioning based on the search results. The
experimental results are analyzing the storm eye position with approxiamtely
$98\%$ accurate compared to the India meteorological department provided best
track data and Cooperative Institute for Meteorological Satellite Studies
provided Advances Dvorak Technique data. As a result, the identification of
storm's eye location using this technique can be found to improve
significantly. Using the present technique, it is possible to determine the eye
entirely automatically, which replacing the manual method that has been
employed in the past.
