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Lookup NU author(s): Susanto Sulistyo, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay
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Image colors are considerably affected by the intensity of the light source. In this paper, we propose a color constancy method using neural networks fusion to normalize images captured under sunlight with a variation of light intensities. A genetic algorithm is also applied to optimize the color normalization. A 24-patch Macbeth color checker is utilized as the reference to normalize the images. The results of our proposed method is superior to other methods, i.e. the conventional gray world and scale-by-max methods, as well as linear model and single neural network method. Furthermore, the proposed method can be used to normalize wheat plant images captured under various light intensities.
Author(s): Sulistyo SB, Woo WL, Dlay SS
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)
Year of Conference: 2016
Pages: 130-135
Online publication date: 11/04/2016
Acceptance date: 01/01/1900
Publisher: IEEE
URL: http://dx.doi.org/10.1109/ICACI.2016.7449816
DOI: 10.1109/ICACI.2016.7449816
