Abstract
Illumination-invariant image processing is an extension of the classical technique of homomorphic filtering using a logarithmic point transformation. In this paper, traditional approaches to illumination-invariant processing are briefly reviewed and then extended using newer image processing techniques. Relevant hardware considerations are also discussed including the number of bits per pixel required for digitization, minimizing the dynamic range of the data for image processing, and camera requirements. Three applications using illumination-invariant processing techniques are also provided.
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© 1996 Springer-Verlag Berlin Heidelberg
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Miller, J.W.V., Shridhar, M. (1996). Methods for Illumination-Invariant Image Processing. In: Sanz, J.L.C. (eds) Image Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58288-2_14
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DOI: https://doi.org/10.1007/978-3-642-58288-2_14
Publisher Name: Springer, Berlin, Heidelberg
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