Translator Disclaimer
29 January 2007 Complete boundary detection of textured objects via deformable models
Author Affiliations +
Proceedings Volume 6499, Vision Geometry XV; 64990H (2007) https://doi.org/10.1117/12.705722
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Object recognition using the shape of objects boundaries and surface reconstruction using slice contours rely on the identification of the correct and complete boundary information of the segmented objects in the scene. Geometric deformable models (GDM) using the level sets method provide a very efficient framework for image segmentation. However, the segmentation results provided by these models are dependent on the contour initialization. Also, if there are textured objects in the scene, usually the incorrect boundaries are detected. In most cases where the strategy is to detect the correct boundary of all the objects in the scene, the results of the segmentation will only provide incomplete and/or inaccurate object's boundaries. In this work, we propose a new method to detect the correct boundary information of segmented objects, in particular textured objects. We use the average squared gradient to determine the appropriate initialization positions and by varying the size of the test regions we create multiple images, that we will call layers, to determine the appropriate boundaries.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Renato Dedić and Madjid Allili "Complete boundary detection of textured objects via deformable models", Proc. SPIE 6499, Vision Geometry XV, 64990H (29 January 2007); https://doi.org/10.1117/12.705722
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Acquisition of randomly moving objects by visual guidance
Proceedings of SPIE (August 06 1993)
Fruit shape detection by optimizing Chan-Vese model
Proceedings of SPIE (October 30 2009)
Medical image segmentation using genetic snakes
Proceedings of SPIE (November 01 1999)
Visual servo control using orthonormal polynomial
Proceedings of SPIE (May 01 2003)

Back to Top