Title :
Classification of planar shapes using multiresolution circular autoregressive models
Author :
Das, M. ; Paulik, Mark J. ; Wang, Yung-Da ; Li, Chia Che
Author_Institution :
Oakland Univ., Rochester, MI, USA
Abstract :
A new multiresolution circular autoregressive (MCAR) shape boundary modeling technique is developed. The circular autoregressive model represents the shape contour sequence at short, medium, and long term boundary correlations. The model is independent of shape size, orientation, and location. The feature weighting (FW) recognition technique is used to classify the shapes. Experimental shape classification results are provided
Keywords :
autoregressive processes; computer vision; feature extraction; image classification; boundary correlations; feature weighting recognition technique; multiresolution circular autoregressive models; planar shape classification; shape boundary modeling technique; shape contour sequence; Application software; Computer industry; Computer vision; Electrical equipment industry; Industrial control; Manufacturing industries; Production facilities; Robot vision systems; Shape; Spatial resolution;
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
DOI :
10.1109/MWSCAS.1993.343238
