IR measurements and image processing for enhanced-vision systems in civil aviation

2001 ◽  
Author(s):  
Kurt R. Beier ◽  
Jochen Fries ◽  
Rupert M. Mueller ◽  
Gintautas Palubinskas
Keyword(s):  
Image Processing ◽  
Civil Aviation ◽  
Vision Systems

scholarly journals Small flexible automated system for monitoring Caenorhabditis elegans lifespan based on active vision and image processing techniques

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Joan Carles Puchalt ◽  
Antonio-José Sánchez-Salmerón ◽  
Eugenio Ivorra ◽  
Silvia Llopis ◽  
Roberto Martínez ◽  
...  
Keyword(s):  
Image Processing ◽  
Caenorhabditis Elegans ◽  
Culture Media ◽  
Active Vision ◽  
Automated System ◽  
Rank Test ◽  
P Value ◽  
Vision Systems ◽  
C Elegans ◽  
Processing Techniques

AbstractTraditionally Caenorhabditis elegans lifespan assays are performed by manually inspecting nematodes with a dissection microscope, which involves daily counting of live/dead worms cultured in Petri plates for 21–25 days. This manual inspection requires the screening of hundreds of worms to ensure statistical robustness, and is therefore a time-consuming approach. In recent years, various automated artificial vision systems have been reported to increase the throughput, however they usually provide less accurate results than manual assays. The main problems identified when using these vision systems are the false positives and false negatives, which occur due to culture media changes, occluded zones, dirtiness or condensation of the Petri plates. In this work, we developed and described a new C. elegans monitoring machine, SiViS, which consists of a flexible and compact platform design to analyse C. elegans cultures using the standard Petri plates seeded with E. coli. Our system uses an active vision illumination technique and different image-processing pipelines for motion detection, both previously reported, providing a fully automated image processing pipeline. In addition, this study validated both these methods and the feasibility of the SiViS machine for lifespan experiments by comparing them with manual lifespan assays. Results demonstrated that the automated system yields consistent replicates (p-value log rank test 0.699), and there are no significant differences between automated system assays and traditionally manual assays (p-value 0.637). Finally, although we have focused on the use of SiViS in longevity assays, the system configuration is flexible and can, thus, be adapted to other C. elegans studies such as toxicity, mobility and behaviour.

3rd Generation Networks in UAV Vision Systems

2021 ◽  
Author(s):  
Szymon Szczęsny ◽  
Damian Huderek
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Network Models ◽  
Spiking Neural Networks ◽  
Vision Systems ◽  
Hardware Implementations

This chapter discusses the concept of using Spiking Neural Networks (SNN), i.e. 3rd generation networks for image processing in UAV vision systems. The discussion concerns the complexity of various network models and basic limitations of hardware implementations of classifiers based on such networks. This chapter provides an example of classifying objects using SNN and discusses the implementation complexity of such networks.

Image processing device for automotive vision systems

2003 ◽  
Author(s):  
S. Muramatsu ◽  
Y. Otsuka ◽  
H. Takenaga ◽  
Y. Kobayashi ◽  
I. Furusawa ◽  
...  
Keyword(s):  
Image Processing ◽  
Vision Systems ◽  
Processing Device

Image Processing Vision Systems: Standard Image Sensors Versus Retinas

2007 ◽  
Vol 56 (5) ◽  
pp. 1675-1687 ◽  
Author(s):  
Abdelhafid Elouardi ◽  
Samir Bouaziz ◽  
Antoine Dupret ◽  
Lionel Lacassagne ◽  
Jacques-Olivier Klein ◽  
...  
Keyword(s):  
Image Processing ◽  
Image Sensors ◽  
Vision Systems
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