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Proceedings Paper

Image segmentation using a hybrid technique by combining optical and digital methods
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Paper Abstract

We present an image segmentation method based on the use of an optical technique for detection of contours (as a preprocessing stage) and a posterior digital segmentation algorithms. The contouring technique is utilized to find an accurate contour and it is based on the polarization features of the twisted-nematic liquid-crystal displays (TNLCDs). TN-LCDs are manufactured to work between a crossed polarizer-analyzer pair. When the analyzer is at 45 deg (instead of 90 deg) with respect to the polarizer, one obtains an optically processed image with pronounced outlines (dark contours) at middle intensity. On other hand, the segmentation algorithms are based on active shape models or snakes. Experimental results show that the proposed technique yields accurate segmentation for low-contrast images. Also, we demonstrate that this hybrid-system has a better performance than purely digital algorithms.

Paper Details

Date Published: 2 November 2011
PDF: 10 pages
Proc. SPIE 8011, 22nd Congress of the International Commission for Optics: Light for the Development of the World, 801188 (2 November 2011); doi: 10.1117/12.903425
Show Author Affiliations
Juan Pablo Aguayo Adame, Univ. de Guadalajara (Mexico)
Jorge L. Flores, Univ. de Guadalajara (Mexico)
José A. Ferrari, Univ. de la República (Uruguay)
Guillermo García-Torales, Univ. de Guadalajara (Mexico)


Published in SPIE Proceedings Vol. 8011:
22nd Congress of the International Commission for Optics: Light for the Development of the World
Ramón Rodríguez-Vera; Ramón Rodríguez-Vera; Ramón Rodríguez-Vera; Rufino Díaz-Uribe; Rufino Díaz-Uribe; Rufino Díaz-Uribe, Editor(s)

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