Texture analysis of diagnostic tray images by use of fractals
Date of Original Version
In this work a discrete fractional Brownian motion (FBM) model is applied to xray images as a measure of the regional texture. FBM is a generalization of ordinary Wiener-Levy Brownian motion. A Parameter H is introduced which describes the roughness of the realizations. Using generated realizations, a Cramer-Rao bound for the variance of an estimate of Hwas evaluated using asymptotic statistics. The results show that the accuracy of the estimate is independent of the true H. A maximum likelihood estimator is derived for H and applied to the data sets The results were close to the C-R bound. The MLE is then applied to sequences of digital coronary angiograms. The results show that the H parameter is a useful index by which to segment vessels from background noise. © 1986 SPIE.
Publication Title, e.g., Journal
Proceedings of SPIE - The International Society for Optical Engineering
Lundahl, T., W. J. Ohley, S. M. Kay, H. White, D. O. Williams, and A. S. Most. "Texture analysis of diagnostic tray images by use of fractals." Proceedings of SPIE - The International Society for Optical Engineering 707, (1986): 23-30. doi: 10.1117/12.937245.