Representation of local geometry in the visual system
Biological Cybernetics
Pattern Recognition Letters
Scale-Space for Discrete Signals
IEEE Transactions on Pattern Analysis and Machine Intelligence
Elements of information theory
Elements of information theory
Generic Neighborhood Operators
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Structure of Locally Orderless Images
International Journal of Computer Vision
Receptive field assembly pattern specificity
Journal of Visual Communication and Image Representation
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Image analysis methods that use histograms defined over non-zerosized local neighbourhoods have been proposed [1-4]. To better understand such methods, one can study the histograms of infinitesimal neighbourhoods. In this paper we show how the properties of such histograms can be derived through limit arguments. We show that in many cases the properties of these histograms are given by simple expressions in terms of spatial derivatives at the point analyzed.