A modular approach on adaptive thresholding for extraction of mammalian cell regions from bioelectric images in complex lighting environments (Proceedings Paper)

A modular approach on an adaptive thresholding method for segmentation of cell regions in bioelectric images with complex lighting environments and background conditions is presented in this paper. Preprocessing steps involve lowpass filtering of the image and local contrast enhancement. This image is then adaptively thresholded which produces a binary image. The binary image consists of cell regions and the edges of a metal electrode that show up as bright spots. A local region based approach is used t

DOI: 10.1117/12.777852
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