Paper
4 April 1997 Erosion- and dilation-based morphological signature transform for shape description
Zoran Dukic, Sven Loncaric
Author Affiliations +
Proceedings Volume 3026, Nonlinear Image Processing VIII; (1997) https://doi.org/10.1117/12.271114
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
An algorithm for shape description is proposed in this paper. A sequence of shapes, called morphological shape signature, is generated by application of the morphological signature transform (MST), in the first step of the method. After the shape transformation process is completed a simple shape descriptor is applied to each shape from the obtained shape signature. The original MST algorithm uses erosion for iterative morphological shape processing. The original MST is modified so that both erosion and dilation are used. The method is tested on the problem of shape matching and experimental results have demonstrated that proposed method has better recognition performance.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zoran Dukic and Sven Loncaric "Erosion- and dilation-based morphological signature transform for shape description", Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); https://doi.org/10.1117/12.271114
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KEYWORDS
Shape analysis

Detection and tracking algorithms

Image resolution

Binary data

Chemical elements

Distance measurement

Mathematical morphology

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