A High-Frame-Rate Vision System with Automatic Exposure Control

Qingyi GU; Abdullah AL NOMAN; Tadayoshi AOYAMA; Takeshi TAKAKI; Idaku ISHII

doi:10.1587/transinf.E97.D.936

A High-Frame-Rate Vision System with Automatic Exposure Control

Qingyi GU, Abdullah AL NOMAN, Tadayoshi AOYAMA, Takeshi TAKAKI, Idaku ISHII

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In this paper, we present a high frame rate (HFR) vision system that can automatically control its exposure time by executing brightness histogram-based image processing in real time at a high frame rate. Our aim is to obtain high-quality HFR images for robust image processing of high-speed phenomena even under dynamically changing illumination, such as lamps flickering at 100 Hz, corresponding to an AC power supply at 50 / 60 Hz. Our vision system can simultaneously calculate a 256-bin brightness histogram for an 8-bit gray image of 512×512 pixels at 2000 fps by implementing a brightness histogram calculation circuit module as parallel hardware logic on an FPGA-based high-speed vision platform. Based on the HFR brightness histogram calculation, our method realizes automatic exposure (AE) control of 512×512 images at 2000 fps using our proposed AE algorithm. The proposed AE algorithm can maximize the number of pixels in the effective range of the brightness histogram, thus excluding much darker and brighter pixels, to improve the dynamic range of the captured image without over- and under-exposure. The effectiveness of our HFR system with AE control is evaluated according to experimental results for several scenes with illumination flickering at 100 Hz, which is too fast for the human eye to see.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.4 pp.936-950

Publication Date: 2014/04/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.936

Type of Manuscript: PAPER

Category: Image Recognition, Computer Vision

Authors

Qingyi GU
  Hiroshima University
Abdullah AL NOMAN
  Hiroshima University
Tadayoshi AOYAMA
  Hiroshima University
Takeshi TAKAKI
  Hiroshima University
Idaku ISHII
  Hiroshima University

Keyword

automatic exposure control, high-frame-rate vision system, hardware implementation

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Qingyi GU, Abdullah AL NOMAN, Tadayoshi AOYAMA, Takeshi TAKAKI, Idaku ISHII, "A High-Frame-Rate Vision System with Automatic Exposure Control" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 4, pp. 936-950, April 2014, doi: 10.1587/transinf.E97.D.936.
Abstract: In this paper, we present a high frame rate (HFR) vision system that can automatically control its exposure time by executing brightness histogram-based image processing in real time at a high frame rate. Our aim is to obtain high-quality HFR images for robust image processing of high-speed phenomena even under dynamically changing illumination, such as lamps flickering at 100 Hz, corresponding to an AC power supply at 50 / 60 Hz. Our vision system can simultaneously calculate a 256-bin brightness histogram for an 8-bit gray image of 512×512 pixels at 2000 fps by implementing a brightness histogram calculation circuit module as parallel hardware logic on an FPGA-based high-speed vision platform. Based on the HFR brightness histogram calculation, our method realizes automatic exposure (AE) control of 512×512 images at 2000 fps using our proposed AE algorithm. The proposed AE algorithm can maximize the number of pixels in the effective range of the brightness histogram, thus excluding much darker and brighter pixels, to improve the dynamic range of the captured image without over- and under-exposure. The effectiveness of our HFR system with AE control is evaluated according to experimental results for several scenes with illumination flickering at 100 Hz, which is too fast for the human eye to see.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.936/_p

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@ARTICLE{e97-d_4_936,
author={Qingyi GU, Abdullah AL NOMAN, Tadayoshi AOYAMA, Takeshi TAKAKI, Idaku ISHII, },
journal={IEICE TRANSACTIONS on Information},
title={A High-Frame-Rate Vision System with Automatic Exposure Control},
year={2014},
volume={E97-D},
number={4},
pages={936-950},
abstract={In this paper, we present a high frame rate (HFR) vision system that can automatically control its exposure time by executing brightness histogram-based image processing in real time at a high frame rate. Our aim is to obtain high-quality HFR images for robust image processing of high-speed phenomena even under dynamically changing illumination, such as lamps flickering at 100 Hz, corresponding to an AC power supply at 50 / 60 Hz. Our vision system can simultaneously calculate a 256-bin brightness histogram for an 8-bit gray image of 512×512 pixels at 2000 fps by implementing a brightness histogram calculation circuit module as parallel hardware logic on an FPGA-based high-speed vision platform. Based on the HFR brightness histogram calculation, our method realizes automatic exposure (AE) control of 512×512 images at 2000 fps using our proposed AE algorithm. The proposed AE algorithm can maximize the number of pixels in the effective range of the brightness histogram, thus excluding much darker and brighter pixels, to improve the dynamic range of the captured image without over- and under-exposure. The effectiveness of our HFR system with AE control is evaluated according to experimental results for several scenes with illumination flickering at 100 Hz, which is too fast for the human eye to see.},
keywords={},
doi={10.1587/transinf.E97.D.936},
ISSN={1745-1361},
month={April},}

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TY - JOUR
TI - A High-Frame-Rate Vision System with Automatic Exposure Control
T2 - IEICE TRANSACTIONS on Information
SP - 936
EP - 950
AU - Qingyi GU
AU - Abdullah AL NOMAN
AU - Tadayoshi AOYAMA
AU - Takeshi TAKAKI
AU - Idaku ISHII
PY - 2014
DO - 10.1587/transinf.E97.D.936
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2014
AB - In this paper, we present a high frame rate (HFR) vision system that can automatically control its exposure time by executing brightness histogram-based image processing in real time at a high frame rate. Our aim is to obtain high-quality HFR images for robust image processing of high-speed phenomena even under dynamically changing illumination, such as lamps flickering at 100 Hz, corresponding to an AC power supply at 50 / 60 Hz. Our vision system can simultaneously calculate a 256-bin brightness histogram for an 8-bit gray image of 512×512 pixels at 2000 fps by implementing a brightness histogram calculation circuit module as parallel hardware logic on an FPGA-based high-speed vision platform. Based on the HFR brightness histogram calculation, our method realizes automatic exposure (AE) control of 512×512 images at 2000 fps using our proposed AE algorithm. The proposed AE algorithm can maximize the number of pixels in the effective range of the brightness histogram, thus excluding much darker and brighter pixels, to improve the dynamic range of the captured image without over- and under-exposure. The effectiveness of our HFR system with AE control is evaluated according to experimental results for several scenes with illumination flickering at 100 Hz, which is too fast for the human eye to see.
ER -