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

By: Material type: TextTextPublication details: Islamabad (unpublished) 2019Description: vii, 95 p. : ill. ; 30 cm. +CDSubject(s): 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 Thesis Main Campus 621.367 HAI (Browse shelf(Opens below)) 1 NOT for LOAN 50703

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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