PCNN Model Automatic Linking Strength Determination Based on Geometric Moments in Image Fusion. Issue 1 (March 2014)

• Record Type: Journal Article
• Authors: Shu, Zhibiao
• Is Part Of: Journal of algorithms & computational technology. Volume 8:Issue 1(2014)
• Page Start: 17
• Page End: 26
• Publication Date: 2014-03
• Subjects: image fusion -- pulse coupled neural networks -- linking strength -- geometric moments; Computer algorithms -- Periodicals; Numerical calculations -- Periodicals; Computer algorithms; Numerical calculations; Periodicals; 518.1
• DOI: 10.1260/1748-3018.8.1.17
• Languages: English
• ISSNs: 1748-3018

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.