A novel fusion method for multiple medical microscopic images based on background brightness adjustment

Lixin Tang; Yan Deng; Liping Wang

doi:10.1117/12.834040

30 October 2009 A novel fusion method for multiple medical microscopic images based on background brightness adjustment

Lixin Tang, Yan Deng, Liping Wang

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74972C (2009) https://doi.org/10.1117/12.834040
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

This paper presents a novel fusion method which is based on background brightness adjustment for multiple medical microscopic images. In this process, the background of each microscopic image is separated using the intensity histogram of the image in HSI color space firstly. The ratio and the difference between a selected reference intensity and the average background intensity of each image are calculated. Then, according to the ratio and the difference, the intensity and the saturation of each image are adjusted respectively. Finally, the overlap region between adjacent images is fused by linearly variable weights in RGB color space. The results of experiments indicate that the method can availably remove the differences in brightness and color between images, and generate a satisfactory mosicked image.

Citation Download Citation

Lixin Tang, Yan Deng, and Liping Wang "A novel fusion method for multiple medical microscopic images based on background brightness adjustment", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972C (30 October 2009); https://doi.org/10.1117/12.834040

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KEYWORDS

Image fusion

Image processing

RGB color model

Medical imaging

Image segmentation

Panoramic photography

Polishing

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