Summary
Two threshold techniques are compared in this paper for the application of the box–counting algorithm. The single threshold is sensitive on the selection of the threshold value. Application of the proposed, adaptive windowed threshold allows selection of the threshold values using standard deviation and mean value. The application of the windowed threshold allows preclassification of cell nuclei.
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Oszutowska-Mazurek, D., Mazurek, P., Sycz, K., Waker-Wójciuk, G. (2014). Adaptive Windowed Threshold for Box Counting Algorithm in Cytoscreening Applications. In: S. Choras, R. (eds) Image Processing and Communications Challenges 5. Advances in Intelligent Systems and Computing, vol 233. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01622-1_1
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DOI: https://doi.org/10.1007/978-3-319-01622-1_1
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-01621-4
Online ISBN: 978-3-319-01622-1
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