IEEE Trans Image Process - Image segmentation using a sparse coding model of cortical area V1.

Tópicos

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Resumo

Algorithms that encode images using a sparse set of basis functions have previously been shown to explain aspects of the physiology of a primary visual cortex (V1), and have been used for applications, such as image compression, restoration, and classification. Here, a sparse coding algorithm, that has previously been used to account for the response properties of orientation tuned cells in primary visual cortex, is applied to the task of perceptually salient boundary detection. The proposed algorithm is currently limited to using only intensity information at a single scale. However, it is shown to out-perform the current state-of-the-art image segmentation method (Pb) when this method is also restricted to using the same information.

Resumo Limpo

algorithm encod imag use spars set basi function previous shown explain aspect physiolog primari visual cortex v use applic imag compress restor classif spars code algorithm previous use account respons properti orient tune cell primari visual cortex appli task perceptu salient boundari detect propos algorithm current limit use intens inform singl scale howev shown outperform current stateoftheart imag segment method pb method also restrict use inform

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