DocumentCode :
1367564
Title :
Generating connected textured fractal patterns using Markov random fields
Author :
Onural, Levent
Author_Institution :
Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
Volume :
13
Issue :
8
fYear :
1991
fDate :
8/1/1991 12:00:00 AM
Firstpage :
819
Lastpage :
825
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;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.85673
Filename :
85673
Link To Document :
بازگشت