Abstract
We address the problem of image recognition in the presence of unknown uniform and nonuniform intensity transformations. Multiplicative and additive uniform intensity transformations considered are solved using a method that we recently proposed called the locally adaptive contrast-invariant filter. We now generalize this method for situations where a linear intensity gradient across an object can also be present. We use a set of four orthonormal images, and compute the correlations between each of those images and the scene, and one additional correlation and combine the five correlation planes in a nonlinear manner. Results show that discrimination is good.
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