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Multispectral imaging for industrial machine vision systems and medical applications
JAI
Download this paper to learn more about multispectral imaging solutions in machine vision applications such as food sorting, agriculture, pharmaceutical and medical vision systems, as well as how various camera capabilities can be utilised to meet your multispectral imaging requirements.
Aberrational balancing of MTF in lens design
By Edmund Optics
This white paper from Edmund Optics examines a hybrid approach to lens design for when a custom lens optimised for a specific magnification, working distance and sensor is not feasible. Lenses can be designed such that the spacing between elements or groups of elements can be adjusted; fine-tuning an existing design in this way can produce excellent results in less time and at a lower cost than a full custom design.
Decoding the dichotomy: Traditional image processing versus deep learning
HCL Technologies
This paper will analyse the benefits and drawbacks of traditional image processing and deep learning. It aims to provide clarity on the subject of deep learning, which can then help data scientists and industries choose the most suitable method depending on the task.
Direct communication between FPGAs and GPUs
By Institute Of Embedded Systems, Zurich University Of Applied Sciences
Philipp Huber, Hans-Joachim Gelke and Matthias Rosenthal, from the Institute of Embedded Systems at Zurich University of Applied Sciences, describe a method for direct data transfer between a GPU and FPGA for real-time imaging.
NanoDrive LED lights with nanosecond-scale strobe for fast imaging
SMART VISION LIGHTS
Smart Vision Lights’ NanoDrive allows LEDs to be at full power in 500ns or less. NanoDrive can operate in either continuous or OverDrive strobe modes.
Introduction to Modulation Transfer Function
By Edmund Optics
When optical designers attempt to compare the performance of optical systems, a commonly used measure is modulation transfer function. In order to understand the significance of MTF, consider some general principles and practical examples for defining MTF including its components, importance, and characterisation.
www.imveurope.com/white-papers
IMAGING & MACHINE VISION EUROPE
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