Pattern recognition in gray-level images by Fourier analysis

Abstract Classification or discrimination of shapes is an important problem in picture processing. In the case of boundary discrimination. Fourier Descriptors have proved to be an efficient tool. In this paper, we extend the notion of Fourier Descriptors to gray-level images. The invariants proposed are unchanged under rotations, change of scale, reflexions and translations of an object in a gray-level image.