A deep neural network and classical features based scheme for objects recognition: an application for machine inspection

• Published in: Multimedia tools and applications Vol. 83; no. 5; pp. 14935 - 14957
• Main Authors: Hussain, Nazar, Khan, Muhammad Attique, Sharif, Muhammad, Khan, Sajid Ali, Albesher, Abdulaziz A., Saba, Tanzila, Armaghan, Ammar
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2024; Springer Nature B.V
• Subjects: Artificial neural networks; Automation; Classification; Computer Communication Networks; Computer Science; Computer vision; Data augmentation; Data Structures and Information Theory; Deep learning; Inspection; Machine learning; Multimedia Information Systems; Object recognition; Special Purpose and Application-Based Systems; Supervised learning; Augmentation; Feature selection; Object classification; CNN features; Classical features

Computer Vision (CV) domain is widely used in the current era of automation and visual surveillance for the detection and classification of different objects in a diverse environment. The automatic machine inspection of different objects in the scenes is based on internal and external parameters lik...