Paper
20 October 1997 Some properties of convexity indicators based on fuzzy morphology
Antony T. Popov
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Abstract
This work continues the research presented. There we defined a general class of approximate convexity measures, referred to a s convexity indicators. Their definition was based on the fuzzy inclusion indicators, introduced by Sinha and Dougherty. A special attention was paid to the convexity indicator c. Although this convexity indicator has good theoretical properties, for instance to characterize the fuzzy compact convex sets, in the latter work it has been examined that it is not applicable to crisp sets and is very sensitive to random noise. Therefore, a new convexity indicator cK has been proposed. It can be applied both to binary and grey-tone images and it is not sensitive to random noise.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Antony T. Popov "Some properties of convexity indicators based on fuzzy morphology", Proc. SPIE 3168, Vision Geometry VI, (20 October 1997); https://doi.org/10.1117/12.279676
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KEYWORDS
Binary data

Fuzzy logic

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