DocumentCode
288682
Title
Texture characterization using polyfractal measure
Author
Phuvan, Sonlinh
Volume
4
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
2394
Abstract
A method to measure fractal complexity is demonstrated using a wavelet transform technique called N-Wavelet coding. The wavelet functions used in the wavelet transform are developed by using an artificial neural network. Two pseudo-Cantor textures are used to demonstrate this technique
Keywords
feature extraction; fractals; image classification; image coding; image texture; neural nets; wavelet transforms; N-Wavelet coding; feature extraction; fractal complexity; neural networ; polyfractal measure; pseudo-Cantor textures; texture characterization; wavelet functions; wavelet transform; Artificial neural networks; Computer vision; Density measurement; Feature extraction; Fractals; Frequency measurement; Linear regression; Particle measurements; Position measurement; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374594
Filename
374594
Link To Document