A unified approach to the segmentation of grey-level and dot-pattern images

The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and cont...

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Bibliographic Details
Main Authors: Colchester, A.C.F., Robinson, G.P., Griffin, L.D.
Format: Conference Proceeding
Language:English
Subjects:
Cellular neural networks
Computer vision
Filters
Hospitals
Image segmentation
Morphology
Nervous system
Operating systems
Skeleton
Tin
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Summary:The authors show the close relationship between two algorithms developed in their laboratory: (1) for segmenting grey-scale images and (2) for grouping patterns of dots or disconnected edge fragments. In both cases the output consists of objects each of which is bounded by a closed contours and contains a skeleton whose components are explicitly linked to boundary components. The second algorithm accomplishes a type of perceptual grouping which has often been regarded as implying a different type of processing from earlier segmentation steps. The authors suggest that early segmentation and later perceptual grouping can be, and should be, considered as fundamentally similar processes.< >
DOI:10.1109/ICPR.1992.201989