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13 Oct 2013 02:09
Very usefull to set threshold manually or automatically using protocols. The export in color coded ROI is great and visual.
by Alexandre Dufour
This segmentation method performs a N-class thresholding based on a K-Means classification of the image histogram, then extracts objects in a bottom-up manner using user-defined minimum and maximum object sizes. Very useful to detect clustered objects in fluorescence microscopy.
A. Dufour, V. Meas-Yedid, A. Grassart, and J.-C. Olivo-Marin, "Automated Quantification of Cell Endocytosis Using Active Contours and Wavelet", Proc. ICPR 2008, Tampa, FL, USA.