Abstract
Automated analysis of molecular images has increasingly become an important research in computational life science. In this paper we present new morphological algorithms for the segmentation of touching cell images, which is essential for the task of cell screening. The proposed algorithms are useful for finding different models of touching images and image reconstruction.
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Yu, D., Pham, T.D., Zhou, X. (2007). Analysis and Recognition of Touching Cell Images Based on Morphological Structures. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74819-9_54
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DOI: https://doi.org/10.1007/978-3-540-74819-9_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74817-5
Online ISBN: 978-3-540-74819-9
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