JOURNAL ARTICLE

Multifocus image fusion based on region selection

Abstract

In this paper, a novel multifocus image fusion method based on region selection is proposed. The basic idea is to select sharply focused regions from source images and to combine them together to reconstruct the resultant image. Region Acutance as a kind of superior sharpness criterion is introduced here for region segmentation. In view of the inevitably errors of selection, morphological operations are used to eliminate the discontinuity in the interior of regions. Experimental results demonstrate that the proposed method outperforms traditional fusion methods both in visual effect and objective evaluation.

Keywords:
Artificial intelligence Fusion Computer science Selection (genetic algorithm) Discontinuity (linguistics) Image fusion Image (mathematics) Computer vision Pattern recognition (psychology) Segmentation Image segmentation Mathematics

Metrics

3
Cited By
1.03
FWCI (Field Weighted Citation Impact)
12
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Remote Sensing and Land Use
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science

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