Biological Image Fusion Using A SWT Based Variable-Weights Selection Scheme

Author

Tianjie Li ; Yuanyuan Wang

Author_Institution

Dept. of Electron. Eng., Fudan Univ., Shanghai, China

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

Abstract

A SWT based variable-weights selection scheme is proposed to merge the gray structural image and its corresponding color functional image for the localization of the protein in the biological community. After decomposing the original image by the stationary wavelet transform (SWT), multi-scaled transparencies are assigned for each pixel according to its SWT values. Then the fused product is generated by the inverse wavelet transform (ISWT) with multi-scaled transparencies. 117 groups of images are assessed by means of quantitative tests. Quantified indexes related with the fused product and original images are respectively calculated for the functional and nonfunctional area. Experimental results for several traditional image fusion methods indicate advantages of the proposed method.

Keywords

biological techniques; biology computing; image colour analysis; image fusion; proteins; wavelet transforms; SWT; biological image fusion; color functional image; gray structural image; image decomposition; inverse wavelet transform; multiscaled transparencies; protein localization; quantitative test; stationary wavelet transform; variable-weights selection scheme; Fluorescence; Fusion power generation; Image fusion; Image segmentation; Magnetic resonance imaging; Pixel; Protein engineering; Remote sensing; Testing; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-2901-1

Electronic_ISBN

978-1-4244-2902-8

Type

conf

DOI

10.1109/ICBBE.2009.5162450

Filename

5162450