A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
Many natural textures comprise structural patterns and show strong self-similarity. We use affine symmetry to segment an image into self-similar regions; that is a patch of textu...
Abstract. In this paper, a new technique (SPASM) based on a 3DASM is presented for automatic segmentation of cardiac MRI image data sets consisting of multiple planes with differe...
Hans C. van Assen, Mikhail G. Danilouchkine, Aleja...
The problem of colour image segmentation is investigated in the context of mathematical morphology. Morphological operators are extended to colour images by means of a lexicographi...