IMAGE PROCESSING COMPUTER VISION FOR CRACK DETECTION OF AIRCRAFT SURFACE

Abstract: The goal of this paper is to disclose a library of image enhancement and comprehension algorithms that have been developed to improve and recognize surface flaws from remote live imagery of an aircraft surface. Improved remote visual inspection could allow the inspector to undertake the essential visual examination on an aircraft in a safe, timely, and accurate manner. CIMP sends high-resolution, real-time stereoscopic pictures of the aircraft crown to an inspector at a console. The inspector examines the images for surface problems using computer augmentation and intelligence. We will discuss many image enhancing methods as well as an inspector's interface for emphasizing surface cracks, scratches, lightning strikes, and corrosion in live imagery in this paper. Surface-specific image enhancement techniques emphasize image features that are unique to the surface.