Blind retrospective shading correction using a multi-objective minimization criterion

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
M Vlachos, E Dermatas

Abstract

In this paper, a fully automatic blind retrospective shading correction method based mainly on a minimization of a multi-objective criterion is presented. The proposed method assumes that the acquired image has distorted from a multiplicative and an additive shading component and thus can be adequately described by the linear image formation model. The estimation of the shading-free image is based on parametric estimation of the multiplicative and the additive shading component and the consequent application of the inverse image formation model. First of all, an initial estimation of the shading-free image is performed by the minimization of the multi-objective function of an appropriate image criterion. Secondly, the multiplicative and the additive shading components are estimated, based on assumptions about their frequency content and then, they median filtered. Finally, an estimation of a shading-free image is obtained using the above estimations for the components and the application of the inverse image formation model. Qualitative and quantitative experiments were conducted in a variety of image modalities including artificial and real images of finger, retinal images, transmission electron microscopy (TEM) images, arm, p...Continue Reading

References

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Aug 16, 2016·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Pavel VostatekLasse Lensu

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Citations

Aug 15, 2014·Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·Ebenezer PriyaSwaminathan Ramakrishnan
Jul 10, 2016·Computer Methods and Programs in Biomedicine·Sudeshna Sil Kar, Santi P Maity

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