Paper
3 February 2011 Image segmentation refinement by modeling in turning function space
Carlos F. S. Volotão, Guaraci J. Erthal, Rafael D. C. Santos, Luciano V. Dutra
Author Affiliations +
Proceedings Volume 7870, Image Processing: Algorithms and Systems IX; 78701B (2011) https://doi.org/10.1117/12.876728
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
Abstract
This work proposes a different approach for the use of turning function space to change shapes in accordance with shape descriptions and consistent with spectral information. The main steps are: (1) segmentation; (2) contour extraction; (3) turning function space transform; (4) classification; (5) shape analysis; and (6) blob enhancement on image space. In the analysis of shape the boundary is modified based on both image and model and constraints are imposed to portions of the turning function. Shape modeling can be done by defining criteria such as linearity, angles and sizes. Results on synthetic examples are presented.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carlos F. S. Volotão, Guaraci J. Erthal, Rafael D. C. Santos, and Luciano V. Dutra "Image segmentation refinement by modeling in turning function space", Proc. SPIE 7870, Image Processing: Algorithms and Systems IX, 78701B (3 February 2011); https://doi.org/10.1117/12.876728
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KEYWORDS
Image segmentation

Image processing

Shape analysis

Image classification

Edge detection

Image processing algorithms and systems

Detection and tracking algorithms

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