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Title:

PAVEMENT DISTRESS EVALUATION USING FUZZY LOGIC AND MOMENT INVARIANTS

Accession Number:

00715554

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309061660

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 Accession #:

01399817

Language:

English

Authors:

Chou, JaChing
O'Neill, Wende A
Cheng, Hengda

Pagination:

p. 39-46

Publication Date:

1995

Serial:

Transportation Research Record

Issue Number: 1505
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309061660

Features:

Figures (8) ; References (30) ; Tables (4)

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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