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Title: PAVEMENT DISTRESS EVALUATION USING FUZZY LOGIC AND MOMENT INVARIANTS
Accession Number: 00715554
Record Type: Component
Availability: Find a library where document is available Abstract: A novel approach of applying the theory of fuzzy sets and moment invariants to analyze pavement images in proposed in this paper. By applying the theory of fuzzy sets and calculating moment invariants from different types of distress, features are obtained. Then, a back-propagation neural network is used to classify these features. The crack density is used to obtain extent information. This approach is illustrated using randomly selected samples from NCHRP Project 1-27 video images of real cracks. Based on these samples, the feasibility of using the theory of fuzzy sets and moment invariants to classify different types of crack is proven. High accuracy of classification is also obtained.
Supplemental Notes: This paper appears in Transportation Research Record No. 1505, Pavement Monitoring and Evaluation Issues. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Monograph Accession #: 01399817
Language: English
Authors: Chou, JaChingO'Neill, Wende ACheng, HengdaPagination: p. 39-46
Publication Date: 1995
Serial: ISBN: 0309061660
Features: Figures
(8)
; References
(30)
; Tables
(4)
TRT Terms: Old TRIS Terms: Subject Areas: Highways; Pavements; I23: Properties of Road Surfaces
Files: TRIS, TRB
Created Date: Jan 4 1996 12:00AM
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