EigenMoments is a set of orthogonal, noise robust, invariant to rotation, scaling and translation and distribution sensitive moments.
Moments and functions of moments are powerful general tools in a vast number of fields, and particularly in the field of image signal processing.
Eigenmoments
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EigenMoments is a set of orthogonal, noise robust, invariant to rotation, scaling and translation and distribution sensitive moments. Their application can be found in signal processing and computer vision as descriptors of the signal or image.... Wikipedia
In this paper, we present a method for obtaining a set of orthogonal, noise-robust, transformation invariant and distribution sensitive moments, which we call ...
The orders of these moments are usually noninteger numbers. The resulting analysis can be made time independent and is applicable to various phenomenological ...
Linear rate equations are used to describe the cascading decay of an initial heavy cluster into fragments. Using a procedure inspired by the similar, ...
Moments and functions of moments are powerful general tools in a vast number of fields, and particularly in the field of image signal processing.
In linear algebra, an eigenvector or characteristic vector is a vector that has its direction unchanged (or reversed) by a given linear transformation.
Mar 21, 2012 · pattern classification using eigenmoments ;... Learn more about image processing, eigenmoment, geometric moment, pattern classification.
Abstract. We present an eigenmoment-based paradigm for estimating mean correlation length of a continuous random medium from spatial frequency profile ...
Motivated by our work on SESF, in this paper we present an eigenmoment-based framework to establish a direct relation between the measured spatial frequency ...