Automated highway distress potholes and crack detection using advanced image processing techniques
- Islamabad (unpublished) 2019
- vii, 95 p. : ill. ; 30 cm. +CD
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
Digital image processing--Mathematical morphology--Fourier transformation--Ultrasonic images--Crack detection--FEAS