Visual percepts quality recognition using convolutional neural networks

• Main Authors: Billones, Robert Kerwin C., Bandala, Argel A., Gan Lim, Laurence A., Sybingco, Edwin, Fillone, Alexis M., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2020
• Subjects: Computer vision; Image processing; Neural networks (Computer science); Visual perception; Manufacturing
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/3027
• Institution: De La Salle University

In visual recognition systems, it is necessary to identify between good or bad quality images. Visual perceptions are discrete representation of observable objects. In typical systems, visual parameters are adjusted for optimal detection of good quality images. However, over a wide range of visual c...