Blob analysis using watershed transformation

Authors:
Yi Cui;Nan Zhou
Affiliations:
-;-
Venue:
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Year:
2000

Citing 3
Cited 0

Distance transformations in digital images

Computer Vision, Graphics, and Image Processing
Digital image processing

Digital image processing
Image Analysis and Mathematical Morphology

Image Analysis and Mathematical Morphology

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Abstract

This paper presents an novel method for overlapping or touching blob objects (particles) segmentation. It is based on the watershed transformation, one of the most powerful image analysis tools provided by mathematical morphology. In this method, we first build the distance function of the blob image, and then extract the regional minima as markers, finally the watershed transformation is performed. The applications of this algorithm is illustrated using examples of red blood cell segmentation and broken medicine pills detection.