Geometric Image Primitives by Complex Moments in Gabor Space and the Application to Texture Segmentation

Bigün, Josef; du Buf, J. M. Hans

doi:10.1109/CVPR.1992.223118

Geometric Image Primitives by Complex Moments in Gabor Space and the Application to Texture Segmentation

Josef Bigün, J. M. Hans du Buf

CVPR 1992 pp. 648-650

doi:10.1109/CVPR.1992.223118 /cvpr/1992/bigun1992cvpr-geometric/

Abstract

An approach to image feature extraction is proposed. Complex moments of the Gabor power spectrum are used to detect linear, rectangular, hexagonal/triangular, and other structures with very fine to very coarse resolutions. When the method is applied to texture segmentation, good results are obtained.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>

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Cite

Text

Bigün and du Buf. "Geometric Image Primitives by Complex Moments in Gabor Space and the Application to Texture Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223118

Markdown

[Bigün and du Buf. "Geometric Image Primitives by Complex Moments in Gabor Space and the Application to Texture Segmentation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/bigun1992cvpr-geometric/) doi:10.1109/CVPR.1992.223118

BibTeX

@inproceedings{bigun1992cvpr-geometric,
  title     = {{Geometric Image Primitives by Complex Moments in Gabor Space and the Application to Texture Segmentation}},
  author    = {Bigün, Josef and du Buf, J. M. Hans},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1992},
  pages     = {648-650},
  doi       = {10.1109/CVPR.1992.223118},
  url       = {https://mlanthology.org/cvpr/1992/bigun1992cvpr-geometric/}
}