Colour Vignetting Correction for Microscopy Image Mosaics Used for Quantitative Analyses
Joint Authors
Bevilacqua, Alessandro
Piccinini, Filippo
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-07
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Image mosaicing permits achieving one high-resolution image, extending the visible area of the sample while keeping the same resolution.
However, intensity inhomogeneity of the stitched images can alter measurements and the right perception of the original sample.
The problem can be solved by flat-field correcting the images through the vignetting function.
Vignetting correction has been widely addressed for grey-level images, but not for colour ones.
In this work, a practical solution for the colour vignetting correction in microscopy, also facing the problem of saturated pixels, is described.
In order to assess the quality of the proposed approach, five different tonal correction approaches were quantitatively compared using state-of-the-art metrics and seven pairs of partially overlapping images of seven different samples.
The results obtained proved that the proposed approach allows obtaining high quality colour flat-field corrected images and seamless mosaics without employing any blending adjustment.
In order to give the opportunity to easily obtain seamless mosaics ready for quantitative analysis, the described vignetting correction method has been implemented in an upgraded release of MicroMos (version 3.0), an open-source software specifically designed to automatically obtain mosaics of partially overlapped images.
American Psychological Association (APA)
Piccinini, Filippo& Bevilacqua, Alessandro. 2018. Colour Vignetting Correction for Microscopy Image Mosaics Used for Quantitative Analyses. BioMed Research International،Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1128253
Modern Language Association (MLA)
Piccinini, Filippo& Bevilacqua, Alessandro. Colour Vignetting Correction for Microscopy Image Mosaics Used for Quantitative Analyses. BioMed Research International No. 2018 (2018), pp.1-15.
https://search.emarefa.net/detail/BIM-1128253
American Medical Association (AMA)
Piccinini, Filippo& Bevilacqua, Alessandro. Colour Vignetting Correction for Microscopy Image Mosaics Used for Quantitative Analyses. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-15.
https://search.emarefa.net/detail/BIM-1128253
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1128253