A PDP Approach to Localized Fractal Dimension Computation with Segmentation Boundaries
- 1 July 1995
- journal article
- Published by SAGE Publications in SIMULATION
- Vol. 65 (1) , 26-36
- https://doi.org/10.1177/003754979506500104
Abstract
A parallel distributed processing approach to the computation of localized fractal dimension values in imagery is pre sented. This approach is a further development of the covering method which requires only nearest neighbor commu nication. A major benefit of our approach is the ability to readily incorporate any boundary information that may be available. Man y fractal textures or surfaces are fractal only in distribution. With this in mind, we show that compari son of the fractal dimension distribrctions via Kullback-Leibler can give an improved texture discrimination capability over comparison of computed fractal dimension. Results are presented for a set of textures.Keywords
This publication has 8 references indexed in Scilit:
- Adaptive MixturesJournal of the American Statistical Association, 1994
- The World of Scientific ComputingPublished by Elsevier ,1993
- An efficient approach to estimate fractal dimension of textural imagesPattern Recognition, 1992
- Texture features for classification of ultrasonic liver imagesIEEE Transactions on Medical Imaging, 1992
- An initial assessment of discriminant surface complexity for power law featuresSIMULATION, 1992
- Multiscale fractal theory and object characterizationJournal of the Optical Society of America A, 1990
- Fractal Image Models And Object DetectionPublished by SPIE-Intl Soc Optical Eng ,1987
- Multiple Resolution Texture Analysis and ClassificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984