An Image Fusion Method Based on Fuzzy Regional Characteristics
2013 ◽
Vol 457-458
◽
pp. 1097-1101
Keyword(s):
An image fusion method based on fuzzy regional characteristics is proposed in this paper. After the multi-resolution decomposition of an image, k-mean clustering is firstly done for the low frequency components of the each layer to decompose the low frequency image into important region, sub important region and background region. Then, all areas of the image are fuzzificated and fusion strategies are determined according to their fuzzy membership degrees. Finally, fusion result is obtained by the reconstruction from the multiresolution image representation. Experimental results and fusion quality assessments show the effectiveness of the proposed fusion method.
Keyword(s):
2010 ◽
Vol 108-111
◽
pp. 730-735
2014 ◽
Vol 530-531
◽
pp. 394-402
Keyword(s):
2004 ◽
Vol 02
(01)
◽
pp. 87-98
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2018 ◽
Vol 7
(2.19)
◽
pp. 55
2017 ◽
Vol 2017
◽
pp. 1-13
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Keyword(s):
2013 ◽
Vol 756-759
◽
pp. 3542-3548
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2019 ◽
Vol 17
(06)
◽
pp. 1950045
◽
Keyword(s):
2021 ◽
Vol 39
(4)
◽
pp. 930-936
Keyword(s):
2020 ◽
Vol 31
(01)
◽
pp. 2050050
◽