A fuzzy ARTMAP based classification technique of natural textures

Author

Charlampidis, D. ; Kasparis, Takis ; Georgiopoulos, Michael ; Rolland, Jannick

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Central Florida, Orlando, FL, USA

fYear

1999

fDate

36342

Firstpage

507

Lastpage

511

Abstract

Describes an approach to the classification of textured gray-scale images using a technique based on image filtering, the fractal dimension (FD) and a fuzzy ARTMAP neural network (FAMNN). 12 FD features are computed based on 12 filtered versions of the original image using directional Gabor filters. Features are computed in a window and mapped to the central pixel of this window. We implemented a variation of the testing phase of a fuzzy ARTMAP that exhibited a performance that was superior to the standard fuzzy ARTMAP and the 1-nearest neighbor (1-NN) method in the presence of noise. Training was performed using patterns that were extracted from 20 different textures. The classification performance is also studied with respect to a testing set. Segmentation results are also presented to illustrate that the classification algorithm and its specified parameters are adequate so that more than one texture can be identified in the same image

Keywords

ART neural nets; filtering theory; fuzzy neural nets; image classification; image segmentation; image texture; learning (artificial intelligence); 1-nearest neighbor method; classification performance; directional Gabor filters; fractal dimension; fuzzy ARTMAP neural network; image filtering; image segmentation; natural textures; neural net training; noise; pattern extraction; testing phase; textured gray-scale image classification; Computer networks; Filtering; Fractals; Fuzzy neural networks; Gabor filters; Gray-scale; Image segmentation; Neural networks; Phase noise; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information Processing Society, 1999. NAFIPS. 18th International Conference of the North American

Conference_Location

New York, NY

Print_ISBN

0-7803-5211-4

Type

conf

DOI

10.1109/NAFIPS.1999.781745

Filename

781745