On the behaviour of higher-order spectral features for object recognition in the presence of various types of noise
Chandran, V. & Elgar, S. (1996) On the behaviour of higher-order spectral features for object recognition in the presence of various types of noise. In Proceedings of the Fourth International Symposium on Signal Processing and Its Applications, IEEE, Gold Coast, Queensland, pp. 491-494.
Administrators only | Request a copy from author
This paper presents results on the robustness of higher-order spectral features to Gaussian, Rayleigh, and uniform distributed noise. Based on cluster plots and accuracy results for various signal to noise conditions, the higher-order spectral features are shown to be better than moment invariant features.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Discrete Fourier transforms, Fourier transforms, Frequency, Gaussian noise, Noise robustness, Object recognition, Pattern recognition, Random processes, Signal processing|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 1996 Please consult the authors.|
|Deposited On:||16 Oct 2011 22:38|
|Last Modified:||21 Oct 2011 01:41|
Repository Staff Only: item control page