A Theory of Automatic Parameter Selection for Feature Extraction With Application to Feature-Based Multisensor Image Registration

This paper generalizes the previously developed automated edge-detection parameter selection algorithm of Yitzhaky and Peli. We generalize the approach to arbitrary multidimensional, continuous or discrete parameter spaces, and feature spaces. This generalization enables use of the parameter selecti...

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Veröffentlicht in:	IEEE transactions on image processing 2007-11, Vol.16 (11), p.2733-2742
Hauptverfasser:	DelMarco, S.P., Tom, V., Webb, H.F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Artificial Intelligence Closed-form solution Convergence Density Density measurement Exact sciences and technology Exact solutions Extraterrestrial measurements Feature extraction Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image registration Image sampling Imaging, Three-Dimensional - methods Information Storage and Retrieval - methods Information, signal and communications theory Layout Mathematical analysis Mathematical models Miscellaneous Motion detection multisensor systems Mutual information parameter learning Pattern recognition Pattern Recognition, Automated - methods Pixel Reproducibility of Results Sampling Sampling, quantization Sensitivity and Specificity Signal and communications theory Signal processing Studies Subtraction Technique Telecommunications and information theory
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