Abstract
In the field of cell biology, cell segmentation is an essential task in biomedical application. For this purpose, a cluster based method for cell segmentation is proposed. Firstly, an ant colony clustering algorithm is used to make pre-segmentation from which cell candidates are identified, then some noise spots are filtered with area feature, after that, a novel cluster algorithm is proposed to divide adhering cells into individuals. Finally, good results of segmentation can be achieved. Experimental result show that the method remains both the advantage of image segment of ant colony cluster and the ability of further process of pre-segmentation, which improves the performance of cell segmentation.
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© 2014 Springer International Publishing Switzerland
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Wang, F., Xu, B., Lu, M. (2014). A Cluster Based Method for Cell Segmentation. In: Tan, Y., Shi, Y., Coello, C.A.C. (eds) Advances in Swarm Intelligence. ICSI 2014. Lecture Notes in Computer Science, vol 8795. Springer, Cham. https://doi.org/10.1007/978-3-319-11897-0_30
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DOI: https://doi.org/10.1007/978-3-319-11897-0_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11896-3
Online ISBN: 978-3-319-11897-0
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