A multi-focus image fusion method via region mosaicking on Laplacian pyramids

Liang Kou; Liguo Zhang; Kejia Zhang; Jianguo Sun; Qilong Han; Zilong Jin

doi:10.1371/journal.pone.0191085

A multi-focus image fusion method via region mosaicking on Laplacian pyramids

PLoS One. 2018 May 17;13(5):e0191085. doi: 10.1371/journal.pone.0191085. eCollection 2018.

Authors

Liang Kou¹, Liguo Zhang¹, Kejia Zhang¹, Jianguo Sun¹, Qilong Han¹, Zilong Jin²

Affiliations

¹ College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China.
² School of Computer and Software, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Abstract

In this paper, a method named Region Mosaicking on Laplacian Pyramids (RMLP) is proposed to fuse multi-focus images that is captured by microscope. First, the Sum-Modified-Laplacian is applied to measure the focus of multi-focus images. Then the density-based region growing algorithm is utilized to segment the focused region mask of each image. Finally, the mask is decomposed into a mask pyramid to supervise region mosaicking on a Laplacian pyramid. The region level pyramid keeps more original information than the pixel level. The experiment results show that RMLP has best performance in quantitative comparison with other methods. In addition, RMLP is insensitive to noise and can reduces the color distortion of the fused images on two datasets.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Image Processing, Computer-Assisted / methods*
Optical Phenomena

Grants and funding

This work is supported by the National Science Foundation of China (Grant No. 61501132, Grant No. 61370084), the China Postdoctoral Science Foundation No. 2016M591515, the Heilongjiang Postdoctoral Sustentation Fund with No. LBH-Z14055, and Harbin Application Technology Research and Development Project (Grant No. 2016RAQXJ063, Grant No. 2016RAXXJ013).