@inproceedings{2055fefbb49549a1ad2c888a53132302,
title = "Toward robust moment invariants for image registration",
abstract = "We apply pattern recognition techniques to enhance the robustness of moment-invariants-based image classifiers. Moment invariants exhibit variations under transformations that do not preserve the original image function, such as geometrical transformations involving interpolation. Such variations degrade the performance of classifiers due to the errors in the nearest neighbor search stage. We propose the use of Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA) to alleviate the variations and enhance the robustness of classification. We demonstrate the improved performance in image registration applications under spatial scaling and rotation transformations.",
keywords = "Image registration, Linear discriminant analysis, Moment invariants, Principle component analysis",
author = "Almoosa, {Nawaf I.} and Bae, {Soo Hyun} and Juang, {Biing Hwang}",
year = "2008",
doi = "10.1109/ICASSP.2008.4517783",
language = "British English",
isbn = "1424414849",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1009--1012",
booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",
note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",
}