HEp-2 cell classification in indirect immunofluorescence image
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Suggested algorithms for blood cell images
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
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In this paper we present a new self-sufficient image segmentation method based on watershed-lines neighbourhood. This work-study uses two morphological concepts, watershed and waterfall, for the development of a line-based catalogue concerning neighbourhood analysis. Innovation in waterfall hierarchical evolution is achieved with a marker-constraint implementation along the process, improving detail suppression. Watershed lines are than separated into multiple semi-lines for a further line suppression by semi-lines neighbourhood analysis. In many cases, unless a feature has a high thinness, different from image background (i.e., a thin road, in which case can be defined by a single watershed line), its representation is a set of watershed-connected lines that makes ambiguous feature-line detection for recognition of image structures. Applying watershed to the morphological gradient image, feature contouring is better characterized or waterfall application.