A parametric spectral model for texture-based salience

Terzic, Kasim; Krishna, Sai; du Buf, J. M. H.

http://hdl.handle.net/10400.1/12013

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
A Parametric Spectral Model for Texture-Based Salience.pdf		3.22 MB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Terzic, Kasim

Krishna, Sai

du Buf, J. M. H.

Resumo(s)

We present a novel saliency mechanism based on texture. Local texture at each pixel is characterised by the 2D spectrum obtained from oriented Gabor filters. We then apply a parametric model and describe the texture at each pixel by a combination of two 1D Gaussian approximations. This results in a simple model which consists of only four parameters. These four parameters are then used as feature channels and standard Difference-of-Gaussian blob detection is applied in order to detect salient areas in the image, similar to the Itti and Koch model. Finally, a diffusion process is used to sharpen the resulting regions. Evaluation on a large saliency dataset shows a significant improvement of our method over the baseline Itti and Koch model.