Real-time automated defect detection of metallic conduits through borescope imaging
Ayman Hassan (29210)
Real-time automated defect detection of metallic conduits through borescope imaging - Islamabad (unpublished) 2023 - xvii, 84 p. : ill., Col. ; 30 cm. +CD
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
Software Engineering--Metallic surface--Detection algorithms--Deep learning--Metrics--FC
005.1 / AYM
Real-time automated defect detection of metallic conduits through borescope imaging - Islamabad (unpublished) 2023 - xvii, 84 p. : ill., Col. ; 30 cm. +CD
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
Software Engineering--Metallic surface--Detection algorithms--Deep learning--Metrics--FC
005.1 / AYM