Texture description using multi-scale morphological GLCM

Texture description using multi-scale morphological GLCM Multimed Tools Appl https://doi.org/10.1007/s11042-018-5989-2 Texture description using multi-scale morphological GLCM 1 1 Mudassir Rafi · Susanta Mukhopadhyay Received: 12 September 2017 / Revised: 20 March 2018 / Accepted: 9 April 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Texture is the collective repetitive pattern that characterizes the surface of real world objects. The main challenge in the texture description is its application specific def- inition. The present work aims at bringing the definition of textures under a generalized framework and propose some texture descriptors. In order to accomplish this, authors have extensively studied the properties of texture, drawn four observations and used some of them to devise two texture descriptors under the framework of multi-scale mathematical morphology and co-occurrence matrices. Thereafter, the descriptors are used for texture classification and tested on three benchmark datasets. Before applying the descriptors to texture classification, a dependence between number of decomposition levels (scales) and classification percentage is established using hypothesis testing. Once the dependence is established, the corresponding scale and distance parameter is chosen for each dataset. The classification results are compared with a number of existing methods. The efficacy of results prove the supremacy of the proposed methods http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Texture description using multi-scale morphological GLCM

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-5989-2
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-5989-2 Texture description using multi-scale morphological GLCM 1 1 Mudassir Rafi · Susanta Mukhopadhyay Received: 12 September 2017 / Revised: 20 March 2018 / Accepted: 9 April 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Texture is the collective repetitive pattern that characterizes the surface of real world objects. The main challenge in the texture description is its application specific def- inition. The present work aims at bringing the definition of textures under a generalized framework and propose some texture descriptors. In order to accomplish this, authors have extensively studied the properties of texture, drawn four observations and used some of them to devise two texture descriptors under the framework of multi-scale mathematical morphology and co-occurrence matrices. Thereafter, the descriptors are used for texture classification and tested on three benchmark datasets. Before applying the descriptors to texture classification, a dependence between number of decomposition levels (scales) and classification percentage is established using hypothesis testing. Once the dependence is established, the corresponding scale and distance parameter is chosen for each dataset. The classification results are compared with a number of existing methods. The efficacy of results prove the supremacy of the proposed methods

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: May 29, 2018

References

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