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Proceedings Paper

Optimal fractional filter for image segmentation
Author(s): A. Nakib; Y. Schulze; E. Petit
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Paper Abstract

In this paper, we present a new image thresholding algorithm based on fractional filter (FF). Our experiments showed that a good segmentation result corresponds to an optimal order of the filter. Then, we propose to use geometric moments to find the optimal order. The proposed algorithm, called FLM, allows including contextual information such as the global object shape and uses the properties of the two-dimensional fractional integration. The efficiency of FLM was illustrated by the comparison to other six competing methods recently published and it was tested on real-world problem.

Paper Details

Date Published: 2 February 2012
PDF: 11 pages
Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950P (2 February 2012); doi: 10.1117/12.908715
Show Author Affiliations
A. Nakib, LISSI, Univ. Paris Est Créteil (France)
Y. Schulze, LISSI, Univ. Paris Est Créteil (France)
E. Petit, LISSI, Univ. Paris Est Créteil (France)


Published in SPIE Proceedings Vol. 8295:
Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Karen O. Egiazarian; John Recker; Guijin Wang; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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