High order fractal feature extraction for classification of obje

Image analysis – Pattern recognition – Classification

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382249, G06K 962, G06K 936, G06K 946

Patent

active

057872015

ABSTRACT:
A method of identifying and classifying pre-detected target candidates in an image using pixel intensity and a fractalization process applied to the image. A raw analog image is digitized and normalized. The normalized pixel intensity content of the image is converted to fractal dimensions using a small and a large fractal box, sequentially. An array of special fractal features satisfying predetermined classification thresholds is prepared from the fractal dimensions for each box centered about each pre-detected target candidate in the image, thus classifying the detected objects as targets.

REFERENCES:
patent: 4789933 (1988-12-01), Chen et al.
Pentland, A., "Fractal-based description of natural scenes", Proceedings of he IEEE Computer Soc. Conf. on Computer Vision and Pattern Recognition, pp. 201-209, Jun. 19, 1983.
Chen, Daponte and Fox, "Fractal feature analysis and classification in medical imaging", IEEE Transactions on medical imaging, IEEE Transactions on medical imaging, vol. 8, No. 2, pp. 133-142, Jun. 1989.
Medioni, G.G. and Yasumoto, Y., "A note on using the fractal dimension for segmentation", Proc. of the workshop on computer vision: representation and control, pp. 25-30, Apr. 30, 1984.

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