Title :
Generating connected textured fractal patterns using Markov random fields
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
fDate :
8/1/1991 12:00:00 AM
Abstract :
An algorithm that yields textured and connected binary fractals is presented. The texture is imposed by modelling the fractal as a Markov random field (MRF) at every resolution level. The model size and the parameters specify the texture. The generation starts at a coarser level and continues at finer levels. Connectivity, which is a global property, is maintained by restricting the flow of the sample generating Markov chain within a limited subset of all possible outcomes of the Markov random field. The texture is controlled by the parameters of the MRF model being used. Sample patterns are shown
Keywords :
Markov processes; fractals; pattern recognition; picture processing; statistical analysis; Markov random fields; binary fractals; connected textured fractal patterns; pattern recognition; picture processing; sample generating Markov chain; statistical analysis; Character generation; Fractals; Image segmentation; Markov random fields; Mathematics; Pattern matching; Performance evaluation; Physics; Shape; Uncertainty;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on