Structure-sensitive scale and the hierarchical segmentation of gray-level images

Lewis D. Griffin; Alan C.F. Colchester; Glynn P. Robinson; David John Hawkes

doi:10.1117/12.131064

22 September 1992 Structure-sensitive scale and the hierarchical segmentation of gray-level images

Lewis D. Griffin, Alan C.F. Colchester, Glynn P. Robinson, David John Hawkes

Proceedings Volume 1808, Visualization in Biomedical Computing '92; (1992) https://doi.org/10.1117/12.131064
Event: Visualization in Biomedical Computing, 1992, Chapel Hill, NC, United States

Abstract

We present a graph-based approach to the production of hierarchical segmentations of grey- level images. The technique is designed to be as responsive as possible to the structure of the image but general in the sense that it is independent of the exact edge measure used. We present results using a novel edge measure which combines the first and second derivatives of the image to calculate the phase of the image with respect to scale. We combine this with the gradient to produce a value which reflects both the strength and the stability of candidate edges.

Citation Download Citation

Lewis D. Griffin, Alan C.F. Colchester, Glynn P. Robinson, and David John Hawkes "Structure-sensitive scale and the hierarchical segmentation of gray-level images", Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); https://doi.org/10.1117/12.131064

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