Fast segmentation of industrial quality pavement images using Laws texture energy measures and k-means clustering

Mathavan, S ORCID logoORCID: https://orcid.org/0000-0001-7003-2874, Kumar, A, Kamal, K, Nieminen, M, Shah, H and Rahman, M, 2016. Fast segmentation of industrial quality pavement images using Laws texture energy measures and k-means clustering. Journal of Electronic Imaging, 25 (5), 053010. ISSN 1017-9909

Full text not available from this repository.
Item Type: Journal article
Publication Title: Journal of Electronic Imaging
Creators: Mathavan, S., Kumar, A., Kamal, K., Nieminen, M., Shah, H. and Rahman, M.
Publisher: SPIE
Date: 2016
Volume: 25
Number: 5
ISSN: 1017-9909
Identifiers:
Number
Type
10.1117/1.JEI.25.5.053010
DOI
Divisions: Schools > School of Architecture, Design and the Built Environment
Record created by: Linda Sullivan
Date Added: 17 Oct 2017 14:56
Last Modified: 17 Oct 2017 14:56
URI: https://irep.ntu.ac.uk/id/eprint/31828

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year