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Author Jing Zhang ♦ Oe, S.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Image segmentation ♦ Joining processes ♦ Neural networks ♦ Fractals ♦ Image processing ♦ Image analysis ♦ Image texture analysis ♦ Data mining ♦ Information science ♦ Intelligent systems
Abstract We introduce a segmentation method by using pyramid linking with band-pass neural networks. This approach is applied to segment an image composed of some types of texture to several homogeneous areas. The texture properties of the image are extracted by using a two-dimensional autoregressive method and fractal dimension, and then feature vector pyramids are built of reduced-resolution versions of these arrays. By using band-pass neural networks, the pyramid node linking process is applied. The resulting trees define the segmentation of the original image. The validity of this method is verified by several numerical examples.
Description Author affiliation: Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan (Jing Zhang)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-07-29
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 691.20 kB
Page Count 6
Starting Page 1267
Ending Page 1272


Source: IEEE Xplore Digital Library