scholarly journals High-speed laser Doppler perfusion imaging using an integrating CMOS image sensor

2005 ◽  
Vol 13 (17) ◽  
pp. 6416 ◽  
Author(s):  
Alexandre Serov ◽  
Theo Lasser
Keyword(s):  
Perfusion Imaging ◽  
High Speed ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Laser Doppler ◽  
Laser Doppler Perfusion Imaging

Quasi-parallel laser-Doppler perfusion imaging using a CMOS image sensor

2003 ◽  
Author(s):  
Alexander N. Serov ◽  
W. Steenbergen ◽  
F. F. M. de Mul ◽  
T. Lasser
Keyword(s):  
Perfusion Imaging ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Laser Doppler ◽  
Laser Doppler Perfusion Imaging

Laser Doppler Perfusion Imaging with a high-speed CMOS-camera

2007 ◽  
Author(s):  
Matthijs J. Draijer ◽  
Erwin Hondebrink ◽  
Wiendelt Steenbergen ◽  
Ton G. van Leeuwen
Keyword(s):  
Perfusion Imaging ◽  
High Speed ◽  
Laser Doppler ◽  
Cmos Camera ◽  
Laser Doppler Perfusion Imaging

Visualization of the microcirculation by laser Doppler perfusion imaging

1995 ◽  
Vol 15 (1) ◽  
pp. 9-11 ◽  
Author(s):  
Karin Wȧrdell ◽  
Chris Anderson ◽  
Thomas Andersson
Keyword(s):  
Perfusion Imaging ◽  
Laser Doppler ◽  
Laser Doppler Perfusion Imaging

scholarly journals On-CMOS Image Sensor Processing for Lane Detection

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3713
Author(s):  
Soyeon Lee ◽  
Bohyeok Jeong ◽  
Keunyeol Park ◽  
Minkyu Song ◽  
Soo Youn Kim
Keyword(s):  
Edge Detection ◽  
High Speed ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Image Resolution ◽  
Lane Detection ◽  
Frame Rate ◽  
Total Power ◽  
Detection Accuracy ◽  
Total Power Consumption

This paper presents a CMOS image sensor (CIS) with built-in lane detection computing circuits for automotive applications. We propose on-CIS processing with an edge detection mask used in the readout circuit of the conventional CIS structure for high-speed lane detection. Furthermore, the edge detection mask can detect the edges of slanting lanes to improve accuracy. A prototype of the proposed CIS was fabricated using a 110 nm CIS process. It has an image resolution of 160 (H) × 120 (V) and a frame rate of 113, and it occupies an area of 5900 μm × 5240 μm. A comparison of its lane detection accuracy with that of existing edge detection algorithms shows that it achieves an acceptable accuracy. Moreover, the total power consumption of the proposed CIS is 9.7 mW at pixel, analog, and digital supply voltages of 3.3, 3.3, and 1.5 V, respectively.

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