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Generalized Computation of Gaussian Derivatives Using ITK

Macia, Ivan
Vicomtech Foundation
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/1290
New: Prefer using the following doi: https://doi.org/10.54294/mrg5is
Published in The Insight Journal - 2007 July - December.
Submitted by Ivan Macia on 2007-10-01T00:00:00Z.

Computation of local image derivatives is an important operation in many image processing tasks that involve feature detection and extraction, such as edges, corners or more complicated features. However, derivative computation in discrete images is an ill-posed problem and derivative operators without any prior smoothing are known to enhance noise. Here we present a new convolution operator, the GaussianDerivativeOperator, that allows to calculate locally Gaussian derivatives of N order. Furthermore, we present some useful classes and examples that make use of this new operator.