Image processing
Related papers: 20
About
Image processing is the computational manipulation and analysis of digital images to extract meaningful information or enhance visual content for further use. It encompasses a broad range of techniques—including segmentation, color analysis, feature extraction, filtering, and object detection—that transform raw pixel data into structured representations a machine can interpret or act upon. In robotics and AI, image processing serves as a foundational layer for perception. Robots use it to detect objects, identify fiducial markers for localization, inspect infrastructure for cracks, navigate autonomously, guide manipulators through visual servoing, and harvest crops by recognizing fruit. It underpins systems ranging from industrial quality inspection and planetary rovers to assistive devices for the visually impaired. Implementations span software pipelines, neural network accelerators, and dedicated FPGA hardware to meet real-time constraints. Its importance lies in bridging the gap between raw sensor data and actionable intelligence. Without robust image processing, robots would be unable to reliably perceive their environment, making tasks like autonomous navigation, structural monitoring, and human-robot interaction largely infeasible. It remains one of the most enabling technologies across virtually every robotics application domain.
Top Researchers
Top Institutes
Top Cited Papers
Color indexing
Michael J. Swain, Dana H. Ballard
Citations: 5591 • 1991
Robot Vision
Berthold K. P. Horn
Citations: 3635 • 1986
Ultrafast machine vision with 2D material neural network image sensors
Lukas Mennel, Joanna Symonowicz, Stefan Wachter, Dmitry K. Polyushkin, Aday J. Molina‐Mendoza, Thomas Mueller
Citations: 1105 • 2020
ARTag, a Fiducial Marker System Using Digital Techniques
Mark A. Fiala
Citations: 853 • 2005
Handbook of pattern recognition and image processing
Citations: 766 • 1986
Sensors and systems for fruit detection and localization: A review
Aleana Gongal, Suraj Amatya, Manoj Karkee, Q. Zhang, K.M. Lewis
Citations: 557 • 2015
Neural networks for signal processing
Bart Kosko
Citations: 541 • 1992
Level lines based disocclusion
Simon Masnou, Jean‐Michel Morel
Citations: 528 • 2002
Invariant surface characteristics for 3D object recognition in range images
Paul J. Besl, Ramesh Jain
Citations: 513 • 1986
Moment Functions in Image Analysis — Theory and Applications
Ramakrishnan Mukundan, K.R. Ramakrishnan
Citations: 458 • 1998
Fast and inexpensive color image segmentation for interactive robots
James Bruce, Tucker Balch, Manuela Veloso
Citations: 450 • 2002
Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database
Rolf Köhler, Michael Hirsch, Betty J. Mohler, Bernhard Schölkopf, Stefan Harmeling
Citations: 435 • 2012
Design and application of industrial machine vision systems
H. Golnabi, A. Asadpour
Citations: 376 • 2007
Auto inspection system using a mobile robot for detecting concrete cracks in a tunnel
Seung-Nam Yu, Jaeho Jang, Chang-Soo Han
Citations: 357 • 2006
Image Fusion Techniques: A Survey
Harpreet Kaur, Deepika Koundal, Virender Kadyan
Citations: 343 • 2021
Low Level Image Segmentation: An Expert System
Ahmed M. Nazif, Martin D. Levine
Citations: 320 • 1984
A Survey of Mobile Robots for Distribution Power Line Inspection
Jaka Katrašnik, Franjo Pernuš, Boštjan Likar
Citations: 309 • 2009
Machine learning-based imaging system for surface defect inspection
Je-Kang Park, Bae-Keun Kwon, Jun-Hyub Park, Dong‐Joong Kang
Citations: 306 • 2016
Vision-guided servoing with feature-based trajectory generation (for robots)
John T. Feddema, O.R. Mitchell
Citations: 305 • 1989
Line Extraction in 2D Range Images for Mobile Robotics
Geovany A. Borges, M.J. Aldon
Citations: 291 • 2004