A learning-based colour image segmentation with extended and compact structural tensor feature representation


In this paper a novel Tensor-Based Image Segmentation Algorithm (TBISA) is presented, which is dedicated for segmentation of colour images. A purpose of TBISA is to distinguish specific objects based on their characteristics, i.e. shape, colour, texture, or a mixture of these features. All of those information are available in colour channel data… (More)
DOI: 10.1007/s10044-015-0502-2


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