Automatic classification of micro-organisms by shape and color, in water quality control: A preliminary study

摘要

Automatic segmentation and classification of stained micro-organism images in micrographs are investigated. To discriminate such ellipse-like shapes, a moment based method shows higher reliability than the perimeter based method. A ‘multi-threshold-expansion algorithm’ is successfully applied to segmentation of areas which have darkly stained cores and lightly stained surroundings.