A Fuzzy-Adaptive Approach to Segment Metaphase Chromosome Images

Abstract

Chromosome analysis is an important task to detect genetic diseases. However, the process of identifying chromosomes can be very time-consuming. Therefore, the use of an automatic process to detect chromosomes is an important step to aid the diagnosis. The proposed work develop a new approach to automatize the segmentation of chromosomes, using adaptive thresholding combined with fuzzy logic. The proposed method is evaluated using the database from CRCN-NE, which has 35 images. Results showed that the proposed approach compared with state of the art techniques obtained better segmentation results, with sensitivity and specificity values of 91% and 92%, respectively.