Rotational information in shape description

Using information theory, this investigation propose a novel technique for shape description which is invariant to translation, rotation and In most cases also to scale. This new numeric shape descriptor is based on the measure Of Rotational Information content of an image. In this paper we first review some popular metric shape description features. These features are then used to analyze the feasibility of using the Rotational Information for shape description, and by means of a comparative study we show how the Rotational Information is related to well known metric shape descriptors such as area, circularity and elongation. Finally, the results obtained are discussed and analysed, and conclusions drawn in terms of the suitability of the technique for shape description in image recognition problems.