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Proceedings Paper

Improved texture discrimination and image segmentation with boundary incorporation
Author(s): Halford I. Hayes Jr.; Carey E. Priebe; George W. Rogers; David J. Marchette; Jeffrey L. Solka; Richard A. Lorey
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Paper Abstract

Power law features obtained from fractal dimension analysis have proved to be useful for the discrimination of textures. We consider texture to be a distributed, regional visual effect--an identically distributed random field. Contamination and misclassification occur as the calculations for fractal dimension encompass an area of the image that is not texturally homogeneous. The random field in that region is not identically distributed. Boundary information can be utilized to preserve homogeneity by adapting the subfield being processed. This will improve the texture information near the boundary and can vastly improve the accuracy of the segmentation of the texture regions for scene analysis.

Paper Details

Date Published: 5 July 1995
PDF: 8 pages
Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); doi: 10.1117/12.213091
Show Author Affiliations
Halford I. Hayes Jr., SENTEL Corp. (United States)
Carey E. Priebe, SENTEL Corp. and Johns Hopkins Univ. (United States)
George W. Rogers, Naval Surface Warfare Ctr. (United States)
David J. Marchette, Naval Surface Warfare Ctr. (United States)
Jeffrey L. Solka, Naval Surface Warfare Ctr. (United States)
Richard A. Lorey, Naval Surface Warfare Ctr. (United States)

Published in SPIE Proceedings Vol. 2485:
Automatic Object Recognition V
Firooz A. Sadjadi, Editor(s)

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