Abstract
Computer-aided algorithms play a vital role in industrial automation; image
processing algorithms have a wide variety of applications in the detection of defects in
real-time studies. This chapter proposes image processing algorithms for the detection
of defects in solar panel electroluminescent images. This research work proposes a
median filter for the filtering of images followed by a region of interest extraction by
fast fuzzy c-means clustering. The outcome of this work paves the way for researchers
working in the processing of solar panel electroluminescent images for defects
classification.
Related Journals
Recent Patents on Space Technology
Recent Progress in Space Technology (Discontinued)
Current Alternative Energy
Recent Patents on Mechanical Engineering
Recent Patents on Engineering
Anti-Cancer Agents in Medicinal Chemistry Test_Journal
Current Chinese Engineering Science
Current Biochemical Engineering (Discontinued)
Journal of Fuzzy Logic and Modeling in Engineering
Journal of Intelligent Systems in Current Computer Engineering
Related Books
6G Wireless Communications and Mobile Networking
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Recent Advances in Renewable Energy
Solar Thermal Systems: Thermal Analysis and its Application
Recent Developments in Artificial Intelligence and Communication Technologies
40 YEARS OF SHS: A LUCKY STAR OF A SCIENTIFIC DISCOVERY A Presentation with Elements of a Scientific Lecture
A Review: Chill-Block Melt Spin Technique, Theories & Applications