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| IMAGE OBJECT DETECTION BASED ON FRACTIONAL BROWNIAN MOTION |
| Xie Wenlu; Xie Weixin |
| Xidian University, Xi'an 710071 |
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Abstract Fractional Brownian motion, continuous everywhere and differentiable nowhere, offers a convenient modeling for irregular nonstationary stochastic processes with long-term dependencies and power law behavior of spectrum over wide ranges of frequencies. It shows high correlation at coarse scale and varies slightly at fine scale, which is suitable for and successful in describing and modeling natural scenes. On the other hand, man-made objects can be constructively well described by using a set of regular simple shape primitives such as line, cylinder, etc. and are free of fractal. Based on the difference, a method to discriminate man-made objects from natural
scenes is provided. Experimental results verify its efficiency.
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Received: 16 August 1995
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1997, Vol. 19 
