Local Distance and Dempster-Dhafer for Multi-Focus Image Fusion
This work proposes a new method of fusion image using Dempster-Shafer theory and local variability (DST-LV). This method takes into account the behaviour of each pixel with its neighbours. It consists in calculating the quadratic distance between the value of the pixel I (x, y) of each point and the...
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Veröffentlicht in: | Signal & Image Processing : An International Journal 2022-02, Vol.13 (1), p.29-43 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This work proposes a new method of fusion image using Dempster-Shafer theory and local variability (DST-LV). This method takes into account the behaviour of each pixel with its neighbours. It consists in calculating the quadratic distance between the value of the pixel I (x, y) of each point and the value of all the neighbouring pixels. Local variability is used to determine the mass function defined in DempsterShafer theory. The two classes of Dempster-Shafer theory studied are : the fuzzy part and the focused part. The results of the proposed method are significantly better when comparing them to results of other methods. |
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ISSN: | 2229-3922 0976-710X |
DOI: | 10.5121/sipij.2022.13103 |