A new shape descriptor based on Statistical Morphology is presented. The descriptor, called specstrum, is a statistical extension of pattern spectrum, (i.e., pecstrum) useful to represent shape information related to binary patterns in noisy conditions. The major features of the specstrum are an increased stability under varying noisy conditions and a more regular shape description capability. Results are presented for a parking surveillance application.
Statistical pattern spectrum for binary pattern recognition
Carlo S Regazzoni;
1994-01-01
Abstract
A new shape descriptor based on Statistical Morphology is presented. The descriptor, called specstrum, is a statistical extension of pattern spectrum, (i.e., pecstrum) useful to represent shape information related to binary patterns in noisy conditions. The major features of the specstrum are an increased stability under varying noisy conditions and a more regular shape description capability. Results are presented for a parking surveillance application.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
