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Colour Correction for Assessing Plant Pathology Using Low Quality Cameras

Sion Hannuna, Timo Kunkel, Nantheera Anantrasirichai, Nishan Canagarajah, Colour Correction for Assessing Plant Pathology Using Low Quality Cameras. Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms. ISBN 978-989-8425-36-2, pp. 326–331. January 2011. No electronic version available.


We describe a framework for standardising the colour of plant images taken using both mobile phones and compact cameras. This is with a view to maximising the accuracy of plant pathology diagnosis. Rather than attempt to characterise each camera, we place cheap and easily portable custom colour targets in the scene being captured. We propose a novel weighted least squares formulation for optimising the tranformation function deduced for each image, where the relative contribution for each patch is proportional to the number of closely matching pixels in the image to be transformed. We also introduce our custom colour target which has been designed to preferentially map plant colours and facilitate simple automatic extraction from the image being processed. We provide subjective and objective results demonstrating the efficacy of our approach. It is anticipated that the methods described here could be applied to any application where perceptual consistency is of value.

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