Image thresholding framework based on 2D fractional integration and Legendre momentsReport as inadecuate




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1 LISSI - Laboratoire Images, Signaux et Systèmes Intelligents

Abstract : In this study, the authors present a new image segmentation algorithm based on two-dimensional digital fractional integration 2D-DFI that was inspired from the properties of the fractional integration function. Although obtaining a good segmentation result corresponds to finding the optimal 2D-DFI order, the authors propose a new alternative based on Legendre moments. This framework, called two dimensional digital fractional integration and Legendre moments- 2D-DFILM, allows one to include contextual information such as the global object shape and exploits the properties of the 2D fractional integration. The efficiency of 2D-DFILM is shown by the comparison to other six competing methods recently published and it was tested on real-world problem.





Author: A. Nakib - Y. Schulze - E. Petit -

Source: https://hal.archives-ouvertes.fr/



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