Real-time automated defect detection of metallic conduits through borescope imaging

By: Material type: TextTextPublication details: Islamabad (unpublished) 2023Description: xvii, 84 p. : ill., Col. ; 30 cm. +CDSubject(s): DDC classification:
  • 005.1 AYM
Dissertation note: Thesis (MS)--Riphah International University, 2023
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Thesis Thesis Main Campus 005.1 AYM (Browse shelf(Opens below)) 1 NOT for LOAN 102039

Submitted in the partial fulfillment of the requirements for the degree of Master of science in software engineering in the Faculty of Computing.

Includes bibliographical references

Thesis supervisor: Ms. Hajra Murtaza
Thesis co-supervisor: Dr. Ghulam Murtaza

Thesis (MS)--Riphah International University, 2023

English

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