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Proceedings Paper

Fuzzy logic for multiregion growing
Author(s): Xavier Jove-Boix; Francesc Tarres-Ruiz; Eva Fresco
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Paper Abstract

The paper is focused to the region segmentation, which will be unsupervised and reached in one step. That is: the algorithm has to grow the regions in the characteristics space at the same time it makes the segmentation (clusters) and only one opportunity is available. Moreover, the algorithm uses its position in the image. Every pixel in the image is checked only once. The system has two different blocks: (1) Initialization of a region; (2) growing all regions together. As we want one iteration unsupervised algorithm, we must have several options in each algorithm step. Moreover, we implement a multi-region growing system to check every pixel once in the image. Our work develops a quasi-optimal solution to an unsupervised one step algorithm based on multi-region growing. Some algorithm details are explained below.

Paper Details

Date Published: 5 October 1998
PDF: 11 pages
Proc. SPIE 3527, Multimedia Storage and Archiving Systems III, (5 October 1998); doi: 10.1117/12.325846
Show Author Affiliations
Xavier Jove-Boix, Univ. Ramon Llull (Spain)
Francesc Tarres-Ruiz, Univ. Politecnica de Catalunya (Spain)
Eva Fresco, Univ. Ramon Llull (Spain)


Published in SPIE Proceedings Vol. 3527:
Multimedia Storage and Archiving Systems III
C.-C. Jay Kuo; Shih-Fu Chang; Sethuraman Panchanathan, Editor(s)

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