Illumination-invariant image processing

Abstract

Illumination-invariant image processing is an extension of the classical technique of homomorphic filtering using a logarithmic point transformation. In this chapter, 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.