Cell Image Analysis using Fuzzy Clustering and Morphology based computation
Chinmoy Nath, Jyotismita Talukdar · 2012
Fuzzy c-Means algorithm and morphological analysis is used to study the microscopic images obtained from Pap smear test of cervical region. The clustering process is validated with two robust validation factors. The clustering process help in distinguishing the two primary parts of a cell: nucleus and cytoplasm. Morphological study helps the heath personals to gauge the extent of any normal or abnormal biological change in the cells.