Application of Information Theory to Computer Vision and Image Processing

Dear Colleagues,

World perception is the product of complex optical and physical processes of the human visual system, allowing light stimuli to penetrate through the pupils to reach the retina composed of photoreceptors that transform light into electrochemical energy, which can then be transmitted to the brain to organize, interpret, and analyze the information received and create a perceived reality. In a similar optical and physical process, machine vision is the eyes of cybernetic systems for joining the virtual and real world to coexist in human lives, looking to integrate this technology into our daily lives with creativity and globalization view through interconnectivity. This is possible due to the advanced technologies of sensors and systems to acquire and compute information. Such tasks are based on the integration of optoelectronics devices for sensors and cameras. Sensors, artificial intelligence algorithms, embedded systems, robust control, inertial navigation systems, robotics, interconnectivity, Big Data, information interchange within robotic swarms, and cloud computing form the basis of machine vision developments for cyber-physical systems to collaborate with humans and their real and virtual environments and activities.

This Special Issue aims to publish information theory, measurement methods, data processing, tools, and techniques for the design and instrumentation used in machine vision systems via the application of computer vision and image processing.

Dr. Wendy Flores-Fuentes
Dr. Oleg Sergiyenko
Dr. Julio Cesar Rodriguez-Quinonez
Dr. Jesús Elías Miranda-Vega
Guest Editors

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