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Automated highway distress potholes and crack detection using advanced image processing techniques

By:

Muhammad Haider Ali (18674)

Material type: Text

TextPublication details: Islamabad (unpublished) 2019Description: vii, 95 p. : ill. ; 30 cm. +CDSubject(s):

Digital image processing -- Mathematical morphology -- Fourier transformation -- Ultrasonic images -- Crack detection -- FEAS

DDC classification:

621.367 HAI

Dissertation note: Thesis (MS)--Riphah International University, 2019

List(s) this item appears in: FEAS & DBS Thesis I-14 Campus

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Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Thesis	Main Campus	621.367 HAI (Browse shelf(Opens below))	1	NOT for LOAN		50703

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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

Includes bibliographical references.

Thesis supervisor: Dr. Faraz Akram

Thesis (MS)--Riphah International University, 2019

English

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