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Retrospective shading correction algorithm based on signal envelope estimation

journal contribution
posted on 2023-06-08, 09:45 authored by Constantino C Reyes-Aldasoro
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.

History

Publication status

  • Published

Journal

Electronics Letters

ISSN

0013-5194

Publisher

Institution of Engineering and Technology

Issue

9

Volume

45

Page range

454-456

Department affiliated with

  • Engineering and Design Publications

Notes

448LS Times Cited:0 Cited References Count:11 This article presented a novel algorithm which can be used to correct the shading (the uneven intensity of a background) in images from different acquisition modes, such as MRI, microscopy or even traditional cameras. The algorithm is completely automatic and the computational complexity is lower than the traditional techniques based on Entropy calculations. The article has been cited 6 times in 2 years. I am the sole author of this algorithm which can be accessed through the webpage http://www.caiman.org.uk.

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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