Title :
Fitting implicit polynomials to use as features in image understanding
Author :
Redding, Nicholas J.
Author_Institution :
Microwave Radar Div., Defence Sci. & Technol. Organ., Salisbury, SA, Australia
Abstract :
The paper presents a method for extracting features from images using implicit polynomials in two dimensions. 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 selecting an appropriate model for the features, choosing a suitable fitting metric, and a robust procedure for achieving a good fit
Keywords :
curve fitting; feature extraction; polynomials; feature extraction; fitting metric; good fit; image understanding; implicit polynomial fitting; oblique ionograms; robust procedure; Australia; Feature extraction; Frequency; Ionosphere; Microwave technology; Pixel; Polynomials; Radar imaging; Robustness; Shape;
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
DOI :
10.1109/ANZIIS.1996.573923
