NDLI: Texture characterization via improved deterministic walks on image-generated complex network

Content Provider	IEEE Xplore Digital Library
Author	Couto, L.N. Ribeiro, T.P. Backes, A.R. Zorzo Barcelos, C.A.
Copyright Year	2015
Description	Author affiliation: Fac. de Comput., Univ. Fed. de Uberlandia, Uberlandia, Brazil (Couto, L.N.; Ribeiro, T.P.; Backes, A.R.) \|\| Fac. de Mat., Univ. Fed. de Uberlandia, Uberlandia, Brazil (Zorzo Barcelos, C.A.)
Abstract	This work presents a novel approach for texture based image description, by representing an image as a complex network and applying an enhanced deterministic partially self-avoiding walks algorithm on a transformed image generated from the network's statistics, focusing on extraction of walk shape to build a feature vector to competently characterize texture. A significant improvement to the deterministic walks method proposed in this work is to create a complex network from an image and perform walks on the network's nodes' degrees, instead of on the intensity of the original image's pixels, as usual. Another meaningful innovation is in the way information is acquired from the walks: instead of using walk sizes or demanding fractal dimension computations, the proposed method derives shape information from a walk direction histogram. Experiments using the proposed method for texture classification on several widespread datasets show that the proposed method not only manages to reduce feature vector size but also improves correct classification rates compared to other state-of-the-art methods.
Starting Page	4416
Ending Page	4420
File Size	1078022
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351641
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complex networks Feature extraction Shape Fractals Histograms Data mining Measurement deterministic walks Texture characterization complex networks
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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