Abstract
A common issue in many computer vision applications is the effect of the illumination conditions on the performance and reliability of the built system. In many cases the researchers have to face an extra problem: to study the environmental conditions of the facilities where the application will run, the light technology and the wattage of the chosen lamps, nowadays we are moving to LED technology due to the increased life and absence of flicker, among other benefits. Nevertheless, it would be desirable to make the intelligent system more robust to lighting conditions changes, as in the case of texture classification systems [1]. On such systems the effect of light changes on the measured features may eventually lead to texture misclassification and performance degradation. In this paper we present an approach that will be helpful to overcome such problems when the light comes from a directional source, such as halogen projectors, LED arrays, etc.
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Muñiz, R., Corrales, J.A. (2007). An Approach for Extracting Illumination-Independent Texture Features. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_9
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DOI: https://doi.org/10.1007/978-3-540-74260-9_9
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