Assessment of regularity based on quantitativemeasurements is important for biological structures analysis. The most important is the analysis of the cells' structures. In this paper a few assessment methods are compared: hexagonality, coefficient of variation of sizes, and average coefficient of variation of cells' sides lengths (the new proposed by the authors). This evaluation is based on synthetically generated image datasets for unbiased Monte Carlo analysis. The cell structures are time- evolved using optimization approach starting from irregular to regular. © Springer International Publishing Switzerland 2015.
CITATION STYLE
Piórkowski, A., Mazurek, P., & Gronkowska-Serafin, J. (2015). Comparison of Assessment Regularity Methods Dedicated to Isotropic Cells Structures Analysis. In Advances in Intelligent Systems and Computing (Vol. 313 AISC, pp. 169–178). Springer Verlag. https://doi.org/10.1007/978-3-319-10662-5_21
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