期刊
ELECTRONICS LETTERS
卷 45, 期 9, 页码 454-455出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/el.2009.0320
关键词
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资金
- Cancer Research UK
- Cancer Research UK [9993] Funding Source: researchfish
An additive retrospective non-parametric algorithm for the correction of the inhomogeneous intensity background of images, commonly known as shading, is presented. The algorithm assumed that an original unbiased image was corrupted by slowly-varying shading that could be estimated from the signal envelope in a process analogous to amplitude modulation detection. Unlike other filtering algorithms, the algorithm did not require pre-processing, parameter setting, user interaction, computationally intensive optimisation algorithms nor a restriction in size of the objects of interest relative to the scale of background variations. The algorithm provided satisfactory results for artificial and microscopical images.
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