Perceptual grouping in grey-level images by combination of Gabor filtering and tensor voting
Amin Massad, M. Babos, Bärbel Mertsching · 2003
We present the extension of a perceptual grouping method known as tensor voting to the application on grey-level images. In addition to formerly used inputs consisting of binary images or edgel maps, we introduce the use of local orientation tensors which are computed from a set of Gabor filters applied to the input image. This approach not only yields oriented input tokens but also the locations of junctions as input to the perceptual grouping. We show how this extension can smoothly be embedded into the tensor voting framework and demonstrate the method on example images.