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Image Fusion Technique Based Upon Algebraic Multi Grid Using Improved Watershed Segmentation
[Full Text]
AUTHOR(S)
Divya Gupta, Reecha Sharma
KEYWORDS
Image Fusion, Watershed Segmentation, AMGW
ABSTRACT
This paper present a new hybrid multi-focus image fusion methodology based mostly upon the algebraically multi-grid (AMG) and improved watershed algorithm. The watershed algorithm is easy and intuitive and perpetually turn out an entire division of the image however some time it turn out over segmentation and become sensitive to noise. This limitation is removed by improved watershed algorithmic program. In improved watershed methodology k- mean clustering is combined with watershed algorithm. That divide image into region. At the moment feature like texture, edge is extracted then apply relevant fusion rule multi-focus pictures are fused. The visual qualitative effectiveness of the presented fusion methodology is evaluated by compare it with existing approach. Within which planned approach is best than 12.4%.
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