Image Processing Vision Systems: Standard Image Sensors Versus Retinas

To decrease the computational complexity of computer vision algorithms, one of the solutions is to achieve some low-level image processing on the sensor focal plan. It becomes a smart sensor device called a retina. This concept makes the vision systems more compact. It increases performances thanks...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on instrumentation and measurement Jg. 56; H. 5; S. 1675 - 1687
Hauptverfasser: Elouardi, A., Bouaziz, S., Dupret, A., Lacassagne, L., Klein, J.-O., Reynaud, R.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.10.2007
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Schlagworte:
Circuits
CMOS
CMOS image sensors
CMOS/APS sensors
Computation
Computational complexity
Computer vision
Electronics
Engineering Sciences
Image processing
Image sensors
instrumentation
Intelligent sensors
Machine vision
Microprocessors
Retina
Sensors
smart sensors (retinas)
system-on-chip (SoC)
Vision systems
vision systems architecture
ISSN:0018-9456, 1557-9662
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:To decrease the computational complexity of computer vision algorithms, one of the solutions is to achieve some low-level image processing on the sensor focal plan. It becomes a smart sensor device called a retina. This concept makes the vision systems more compact. It increases performances thanks to the reduction of data flow exchanges with external circuits. This paper presents a comparison relating two different vision system architectures. The first one implements a logarithmic complimentary metal-oxide-semiconductor (CMOS)/active pixel sensor interfaced to a microprocessor, where all computations are carried out. The second involves a CMOS sensor including analog processors allowing on-chip image processing. An external microprocessor is used to control the on-chip data flow and integrated operators. We have designed two vision systems as proof-of-concept. The comparison is related to image processing computation time, processing reliability, programmability, precision, bandwidth, and subsequent stages of computations.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
content type line 23
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2007.895671