Interphase Cells Removal from Metaphase Chromosome Images Based on Meta-Heuristic Grey Wolf Optimizer

摘要

Interphase cells are undivided and the condensed mass of chromosomes. They can highly decrease the efficiency of automatic karyotype. karyotype is a test that is used to examine chromosomes. This test includes counting the number of chromosomes and finding the structural changes in chromosomes. Removal of these interphase cells is challenging task, because of color similarity between interphase cells, chromosomes and parts of the background. In this paper, a new fully automatic approach based on Fast Fuzzy C-Means (FFCM) and Grey Wolf Optimization (GWO) has been proposed. The proposed approach is used to remove interphase cells and extract chromosomes from metaphase chromosomes image. It comprised of three phases. These phases are preprocessing phase, chromosomes image clustering phase and post-processing phase. The obtained results show a good performance of the proposed approach. It obtains overall 94% accuracy.