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Automated highway distress potholes and crack detection using advanced image processing techniques (Record no. 29841)

MARC details
000 -LEADER
fixed length control field	00920nam a22001937a 4500
040 ## - CATALOGING SOURCE
Transcribing agency	Riphah International University
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	621.367
Author Mark	HAI
100 ## - MAIN ENTRY--PERSONAL NAME
Authorship	Muhammad Haider Ali (18674)
245 ## - TITLE STATEMENT
Title	Automated highway distress potholes and crack detection using advanced image processing techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication	Islamabad
Name of publisher	(unpublished)
Date of publication	2019
300 ## - PHYSICAL DESCRIPTION
Extent	vii, 95 p.
Illustrations	: ill.
Dimensions	; 30 cm.
Accompanying material	+CD
500 ## - GENERAL NOTE
General note	Submitted in fulfillment of the requirements for the degree of Master of Science in electrical engineering to the Faculty of Electrical Engineering and Applied Sciences
500 ## - GENERAL NOTE
General note	Includes bibliographical references.
500 ## - GENERAL NOTE
General note	Thesis supervisor: Dr. Faraz Akram
502 ## - DISSERTATION NOTE
Dissertation note	Thesis (MS)--Riphah International University, 2019
546 ## - LANGUAGE NOTE
Language note	English
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject	Digital image processing
Keywords	Mathematical morphology
--	Fourier transformation
--	Ultrasonic images
--	Crack detection
--	FEAS
942 ## - ADDED ENTRY ELEMENTS (KOHA)
item type	Thesis

Holdings
Not for loan	Home library	Current library	Source of acquisition	Full call number	Barcode	Copy number	Koha item type
NOT for LOAN	Main Campus	Main Campus	Riphah International University	621.367 HAI	50703	1	Thesis