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. How- ever, 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. Fur- thermore, we present some useful classes and examples that make use of this new operator.

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