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Automated boundary extraction by gradient fuzzy gray-scale hit-or-miss transformation
Author(s)
Intajag, Sathit
Paithoonwatanakij, Kitti
Date Issued
December 1, 2000
Type
Conference Paper
Abstract
The fuzzy Gray-Scale Hit-or-Miss Transformation (GHMT) is a fuzzy morphology operator, which is a key for the feature extraction in the ambiguous information. In this paper, we propose a novel concept of gradient fuzzy GHMT that is employed for automatically extracting a boundary of the multi-scale pictures. The edge enhancement with a morphological anisotropic diffusion coefficient capability can smooth the noisy region while preserving the edge location. The gradient of the fuzzy GHMT utilizes a set of the structuring elements to detect the edge strength with a view to decrease the spurious edge and suppressed the noise. Results will be presenting both for the synthetic and the natural images in comparison with the others morphological edging detector.
Citation
IEEE Asia Pacific Conference on Circuits and Systems Proceedings, 465-468, 2000