Proceedings Paper
Image classification and segmentation using multichannel fractal modeling| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
Multichannel fractal modelling of the color images is proposed in this paper as an efficient tool for image classification and segmentation. An extension of the fractal dimension to appropriate matrix forms is used for this purpose, showing that it leads to more accurate representations of the original images. Various factors affecting these representations are investigated while artificial neural networks are used to classify the derived feature sets and segment the images.
Paper Details
Date Published: 1 November 1992
PDF: 8 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131507
Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)
PDF: 8 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131507
Show Author Affiliations
Dimitrios K. Kaloyeras, National Technical Univ. of Athens (Greece)
Stefanos D. Kollias, National Technical Univ. of Athens (Greece)
Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)
© SPIE. Terms of Use
