Paper
7 August 1998 Image fusion methods suitable for biomedical image
Qin Li, Caihong Dai, Xin Yu, Susheng Wang, En-Hua Cao, Tongcun Zhang, Jingfu Li
Author Affiliations +
Abstract
The application of image fusion in biomedical image analysis has led to a new concept about the nature of disease and to new diagnostic capabilities. However, the algorithm research of fusion is still an open research topic because the algorithm is often changed with different original images, different detectors and different research objects. This paper focuses on comparison of four image fusion algorithms based on wavelet transform to select the suitable methods for biomedical image fusion. The algorithms include: (1) weighted algorithm, (2) maximum selection algorithm, (3) stressing one image and (4) logic OR algorithm. For the sake of selecting the suitable image fusion methods for biomedical images, we propose six quantitative performance measure criterion linked with the characters of the biomedical image: standard deviation ((sigma) ), peak signal-to-noise ratio (PSNR), mean deviation ((Delta) (mu) ), the difference in entropy ((Delta) H), coefficient of correlation between the fusion image and ideal image (Correlation) and the difference in contrast between the fusion image and ideal image ((Delta) Contrast). Using the four algorithms to process biomedical images, such as fluorescence image and the corresponding transmission image, the visual investigation and the six quantitative performance measure criterion indicate that the weighted algorithm is the most suitable method for biomedical images among the four algorithms.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qin Li, Caihong Dai, Xin Yu, Susheng Wang, En-Hua Cao, Tongcun Zhang, and Jingfu Li "Image fusion methods suitable for biomedical image", Proc. SPIE 3548, Biomedical Optics and Lasers: Diagnostics and Treatment, (7 August 1998); https://doi.org/10.1117/12.317860
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KEYWORDS
Image fusion

Image transmission

Luminescence

Biomedical optics

Detection and tracking algorithms

Image processing

Logic

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