TY - GEN
T1 - Using artificial neural network for the calculation of iterated function system codes
AU - Lee, Alex W H
AU - Cheng, L. M.
PY - 1994
Y1 - 1994
N2 - Iterated Function system (IFS) is one of the most useful methodology in fractal transformation. The collage theorem states that image reconstruction as well image compression can be performed using IFS, but the main disadvantage of this algorithm is computational intensive during extracting suitable attractors to represent the target image. In this paper, artificial neural network is investigated as an alternative tool for IFS attractors' calculation to extract the corresponding image segment. The advantages of the use of ANN are fast, low cost and small once the image segment set has been identified. This paper indicates that ANN is a practical alternative approach.
AB - Iterated Function system (IFS) is one of the most useful methodology in fractal transformation. The collage theorem states that image reconstruction as well image compression can be performed using IFS, but the main disadvantage of this algorithm is computational intensive during extracting suitable attractors to represent the target image. In this paper, artificial neural network is investigated as an alternative tool for IFS attractors' calculation to extract the corresponding image segment. The advantages of the use of ANN are fast, low cost and small once the image segment set has been identified. This paper indicates that ANN is a practical alternative approach.
UR - http://www.scopus.com/inward/record.url?scp=0028694996&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0028694996&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
VL - 6
SP - 4038
EP - 4043
BT - IEEE International Conference on Neural Networks - Conference Proceedings
PB - IEEE
T2 - Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7)
Y2 - 27 June 1994 through 29 June 1994
ER -