Novel hardware architecture for real-time, continuous line scan processing

1994 ◽  
Author(s):  
Joseph D. Burjoski
Keyword(s):  
Real Time ◽  
Hardware Architecture ◽  
Continuous Line ◽  
Line Scan

scholarly journals Real-time FPGA-based implementation of the AKAZE algorithm with nonlinear scale space generation using image partitioning

2021 ◽  
Author(s):  
Parastoo Soleimani ◽  
David W. Capson ◽  
Kin Fun Li
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Scale Space ◽  
Image Resolution ◽  
Hardware Architecture ◽  
Frame Rate ◽  
Time Sharing ◽  
Scale Invariant ◽  
Nonlinear Scale Space ◽  
Nonlinear Scale

AbstractThe first step in a scale invariant image matching system is scale space generation. Nonlinear scale space generation algorithms such as AKAZE, reduce noise and distortion in different scales while retaining the borders and key-points of the image. An FPGA-based hardware architecture for AKAZE nonlinear scale space generation is proposed to speed up this algorithm for real-time applications. The three contributions of this work are (1) mapping the two passes of the AKAZE algorithm onto a hardware architecture that realizes parallel processing of multiple sections, (2) multi-scale line buffers which can be used for different scales, and (3) a time-sharing mechanism in the memory management unit to process multiple sections of the image in parallel. We propose a time-sharing mechanism for memory management to prevent artifacts as a result of separating the process of image partitioning. We also use approximations in the algorithm to make hardware implementation more efficient while maintaining the repeatability of the detection. A frame rate of 304 frames per second for a $$1280 \times 768$$ 1280 × 768 image resolution is achieved which is favorably faster in comparison with other work.

A Real Time Hardware Architecture

1991 ◽  
pp. 139-196
Author(s):  
Wolfgang A. Halang ◽  
Alexander D. Stoyenko
Keyword(s):  
Real Time ◽  
Hardware Architecture

A Real-Time Coprime Line Scan Super-Resolution System for Ultra-Fast Microscopy

2019 ◽  
Vol 13 (4) ◽  
pp. 781-792
Author(s):  
Runbin Shi ◽  
Justin S. J. Wong ◽  
Edmund Y. Lam ◽  
Kevin K. Tsia ◽  
Hayden K.-H. So
Keyword(s):  
Real Time ◽  
Super Resolution ◽  
Line Scan ◽  
Resolution System

scholarly journals The software and hardware architecture of the real-time protection of in-vessel components in JET-ILW

2019 ◽  
Vol 59 (7) ◽  
pp. 076016 ◽  
Author(s):  
V. Huber ◽  
A. Huber ◽  
D. Kinna ◽  
G.F. Matthews ◽  
G. Sergienko ◽  
...  
Keyword(s):  
Real Time ◽  
Hardware Architecture ◽  
The Real ◽  
Software And Hardware

Real-time motion prediction using the chromatic offset of line scan cameras

2017 ◽  
Vol 65 (6) ◽  
Author(s):  
Florian Pfaff ◽  
Georg Maier ◽  
Mikhail Aristov ◽  
Benjamin Noack ◽  
Robin Gruna ◽  
...  
Keyword(s):  
Real Time ◽  
State Of The Art ◽  
Bulk Material ◽  
Separation Process ◽  
Motion Prediction ◽  
Line Scan ◽  
Time Motion ◽  
Sorting Process

AbstractState-of-the-art optical belt sorters commonly employ line scan cameras and use simple assumptions to predict each particle's movement, which is required for the separation process. Previously, we have equipped an experimental optical belt sorter with an area scan camera and were able to show that tracking the particles of the bulk material results in an improvement of the predictions and thus also the sorting process. In this paper, we use the slight gap between the sensor lines of an RGB line scan camera to derive information about the particles' movements in real-time. This approach allows improving the predictions in optical belt sorters without necessitating any hardware modifications.

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