Image classification and segmentation using multichannel fractal modeling

Dimitrios K. Kaloyeras; Stefanos D. Kollias

doi:10.1117/12.131507

1 November 1992 Image classification and segmentation using multichannel fractal modeling

Dimitrios K. Kaloyeras, Stefanos D. Kollias

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131507
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Dimitrios K. Kaloyeras and Stefanos D. Kollias "Image classification and segmentation using multichannel fractal modeling", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131507

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