Detail publikace

Image edges resolved well when using an overcomplete piecewise-polynomial model

Originální název

Image edges resolved well when using an overcomplete piecewise-polynomial model

Anglický název

Image edges resolved well when using an overcomplete piecewise-polynomial model

Jazyk

en

Originální abstrakt

Used in the paper is an overcomplete piecewisepolynomial image model incorporating sparsity. The paper shows that using such a model, the edges in the image can be resolved robustly with respect to noise. Two variants of the proposed approach are both shown to be superior to the use of the classic edge detecting kernels. The proposed method is in turn also suitable for image segmentation.

Anglický abstrakt

Used in the paper is an overcomplete piecewisepolynomial image model incorporating sparsity. The paper shows that using such a model, the edges in the image can be resolved robustly with respect to noise. Two variants of the proposed approach are both shown to be superior to the use of the classic edge detecting kernels. The proposed method is in turn also suitable for image segmentation.

BibTex


@inproceedings{BUT150615,
  author="Michaela {Novosadová} and Pavel {Rajmic}",
  title="Image edges resolved well when using an overcomplete piecewise-polynomial model",
  annote="Used in the paper is an overcomplete piecewisepolynomial image model incorporating sparsity. The paper shows that using such a model, the edges in the image can be resolved robustly with respect to noise. Two variants of the proposed approach are both shown to be superior to the use of the classic edge detecting kernels. The proposed method is in turn also suitable for image segmentation.",
  address="IEEE",
  booktitle="Proceedings of the 12th International Conference on Signal Processing and Communication Systems (ICSPCS)",
  chapter="150615",
  howpublished="electronic, physical medium",
  institution="IEEE",
  year="2018",
  month="december",
  pages="1--10",
  publisher="IEEE",
  type="conference paper"
}