Automated Extraction of Cytoplasm and Nuclei from Cervical Cytology Images by Fuzzy Thresholding and Active Contours
K. Ajita Lakshmi, K.S. Krishnaveni · International Journal of Computer Applications · 2013
In this paper, a novel method for automated diagnosis of cervical cancer by extracting cytoplasm and nuclei from cervical cytology images is described.The background is removed by preprocessing methods like Edge sharpening and Adaptive Histogram Equalization.Fuzzy thresholding and Active contours are used for extracting the region of interest containing the cytoplasm and nuclei.The nuclei are separated from the cytoplasm using linear contrast stretching.The nucleus to cytoplasm ratio is used to determine the stage of cancer.