Nucleus and cytoplast contour detector from a cervical smear image

Authors:
Pei-Yan Pai;Chin-Chen Chang;Yung-Kuan Chan
Affiliations:
Department of Information Communication, Asia University, No. 500, Lioufeng Rd., Wufeng, Taichung 413, Taiwan, ROC;Department of Information Engineering and Computer Science, Feng Chia University, No. 100, Wenhwa Road, Seatwen, Taichung 407, Taiwan, ROC;Department of Management Information Systems, National Chung Hsing University, No. 250, Kuokuang Road, Taichung 402, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

In this paper, a nucleus and cytoplast contour detector (NCC detector) is presented to automatically detect the cytoplast and nucleus contours of a cell in a cervical smear image. The NCC detector uses the adaptable threshold decision (ATD) method to separate the cell from the cervical smear image, and then uses the maximal gray-level-gradient-difference (MGLGD) method, proposed in this paper, to extract the nucleus from the cell. The experimental results show that the NCC detector is superior to two existing methods, the gradient vector flow-active contour model (GVF-ACM) and the edge enhancement nucleus and cytoplast contour (ENNCC) detector, in segmenting the cytoplast and nucleus of a cell.