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author:

Shu, Z. (Shu, Z..) [1]

Indexed by:

Scopus

Abstract:

In order to obtain a clear image that contains all relevant objects in all area, this paper proposes a new image fusion algorithm. The proposed method can adaptively determine the linking strengths of PCNN based on the regional image moment invariants. Compared with the traditional methods, the results of experiments show that the new algorithm enhances the fusion image information, effectively retains the source image edges and detail information. The effect of fusion and quantifying indicators are fairly good.

Keyword:

geometric moments; image fusion; linking strength; pulse coupled neural networks

Community:

  • [ 1 ] [Shu, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350108, China

Reprint 's Address:

  • [Shu, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350108, China

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Source :

Journal of Algorithms and Computational Technology

ISSN: 1748-3018

Year: 2014

Issue: 1

Volume: 8

Page: 17-26

Language: English

0 . 8 0 0

JCR@2023

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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