An Image Fusion Method Based on Fuzzy Regional Characteristics

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 457-458)
• Pages: 1097-1101
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.457-458.1097
• Online since: October 2013
• Authors: Jun Yong Ma, Sheng Wei Zhang, Cai Bing Yue
• Keywords: Clustering, Fuzzy Reasoning, Image Fusion

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