Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/3717
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Zaveri, Tanish | - |
dc.contributor.author | Zaveri, Mukesh | - |
dc.contributor.author | Shah, Virang | - |
dc.contributor.author | Patel, Nirav | - |
dc.date.accessioned | 2012-07-24T08:50:36Z | - |
dc.date.available | 2012-07-24T08:50:36Z | - |
dc.date.issued | 2009-03 | - |
dc.identifier.uri | http://10.1.7.181:1900/jspui/123456789/3717 | - |
dc.description.abstract | Image fusion is a process of combining multiple input images of the same scene into a single fused image, which preserves relevant information and also retains the important features from each of the original images and makes it more suitable for human and machine perception. In this paper, a novel region based image fusion method is proposed. In recent literature shows that region based image fusion algorithm performs better than pixel based fusion method. Proposed algorithm is applied on large number of registered images and results are compared using standard reference and nonreference based fusion parameters. The proposed method is also compared with different methods reported in the recent literature. The simulation results show that our method performs better than other methods. | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartofseries | ITFEC008-10 | en_US |
dc.subject | Image Fusion | en_US |
dc.subject | Region Segmentation | en_US |
dc.subject | Normalized Cut Set | en_US |
dc.subject | EC Faculty Paper | en_US |
dc.subject | Faculty Paper | en_US |
dc.subject | ITFEC008 | en_US |
dc.title | A Novel Region Based Multifocus Image Fusion Method | en_US |
dc.type | Faculty Papers | en_US |
Appears in Collections: | Faculty Papers, EC |
Files in This Item:
File | Description | Size | Format | |
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ITFEC008-10.pdf | ITFEC008-10 | 874 kB | Adobe PDF | ![]() View/Open |
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