Fitting implicit quartics for use in feature extraction

Abstract

This paper presents a method for extracting features from images using implicit quartics in two variables. These features have been particularly designed to be appropriate for the image understanding problem involving oblique ionograms, but they are more generally applicable. Attention is given to the problem of choosing a suitable fitting metric, and the paper presents a robust procedure (exact orthogonal distance regression) for achieving a good fit.