Title :
Texture characterization using polyfractal measure
fDate :
27 Jun-2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374594
