Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Analysis of Lateral Inhibitive-Function and Verification of Local Light Adaptive-Mechanism in a CMOS Vision Chip for Edge Detection

윤곽검출용 CMOS 시각칩의 수평억제 기능 해석 및 국소 광적응 메커니즘에 대한 검증

  • Kim, Jung-Hwan (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Park, Dae-Sik (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Park, Jong-Ho (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Kim, Kyoung-Moon (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Kong, Jae-Sung (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Shin, Jang-Kyoo (School of Electronic and Electrical Engineering, Kyungpook National University) ;
  • Lee, Min-Ho (School of Electronic and Electrical Engineering, Kyungpook National University)
  • 김정환 (경북대학교 전자전기공학부) ;
  • 박대식 (경북대학교 전자전기공학부) ;
  • 박종호 (경북대학교 전자전기공학부) ;
  • 김경문 (경북대학교 전자전기공학부) ;
  • 공재성 (경북대학교 전자전기공학부) ;
  • 신장규 (경북대학교 전자전기공학부) ;
  • 이민호 (경북대학교 전자전기공학부)
  • Published : 2003.03.31
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Abstract

When a vision chip for edge detection using CMOS process is designed, there is a necessity to implement local light adaptive-function for detecting distinctive features of an image at a wide range of light intensities. Local light adaptation is to achive the almost same output level by changing the size of receptive-fields of the local horizontal cell layers according to input light intensities, based on the lateral inhibitive-function of the horizontal cell. Thus, the almost same output level can be obtained whether input light intensities are much or less larger than background. In this paper, the horizontal cells using a resistive network which consists of p-MOSFETs were modeled and analyzed, and the local light adaptive-mechanism of the designed vision chip using the resistive network was verified.

CMOS 공정을 이용한 윤곽검출 시각칩 설계시, 넓은 범위의 광강도에 대해서 이미지의 특징검출을 위하여 국소 광적응기능이 필요하다. 국소 광적응이란 망막내 수평억제(lateral inhibition) 기능을 행하는 수평세포를 이용하여 입력 광강도에 응답하는 국소적인 수평세포층의 수용야 크기를 변화시켜 동일한 출력레벨을 얻는 것이다. 따라서, 배경광보다 조금 크거나 아주 큰 입력광의 변화가 있을 때 동일한 출력레벨을 얻을 수 있다. 본 연구에서는, 망막내 수평세포를 p-MOSFET로 구성된 저항성 회로망으로 모델링 및 해석하고, 이를 이용하여 설계된 시각칩의 국소 광적응 메커니즘을 검증하였다.

Keywords

References

  1. C. Mead. "Neurornorphic electronic systems". IEEE Proceedings. Vol.78. No. 10, pp. 1629-1636, 1990 https://doi.org/10.1109/5.58356
  2. C. A. Mead. Analog VLSI and Neural Systems. Addison-Wesley, 1989
  3. T. Miyashita. K. Nishio, M. Ohtani. H. Yonezu. 'Analog integrated circuits for edge detection with local adaptation'. The 1999 Annual Conference of Japanese Neural Network Society. pp. 65-66. 1999
  4. Tetsuya Yagi and Seiji Kameda. 'A Parallel Analog Intelligrnt Vision Sensor with a Variable Receptive Field', Systems and Computers in Japan. Vol. 30. No. 1. pp, 60-69. 1999 https://doi.org/10.1002/(SICI)1520-684X(199901)30:1<60::AID-SCJ6>3.0.CO;2-D
  5. 박대식, 박종호, 김경문, 이수경, 김현수, 김정환, 이민호, 신장규. '국소 광적을 기능을 가지는 윤곽검출용 32$\times$32 방사형 CMOS 시각칩의 설계', 센서학회지, Vol. 11. No. 2, pp. 84-92. 2002
  6. 박종호, 김정환, 이민호, 신장규, 'MOSFET 부정합에 의한 출력옵셋 제거기능을 가진 윤곽 검출용 시각칩의 설계'. 센서학회지, Vol. 11. No. 5. pp. 255-262, 2002
  7. F. Pardo, B. Dierickx, D. Scheffer, 'CMOS Foveated Image Sensor: Signal Scaling and Smal Geometry Effects', IEEE Transactions on Electron Devices, vol. 44. NO. 10, October, pp. 1731-1737, 1997 https://doi.org/10.1109/16.628830
  8. Michael Schanz, Werner Brockherde, Ralf Hauschild, Bedrich J. Hosticka, and Markus Schwarz, 'Smart CMOS Iamge Sensor Arrays'. IEEE TRANSACTION ON ELECTRON DEVICES, Vol.44. No. 10, pp. 1699-1705, 1997 https://doi.org/10.1109/16.628825
  9. Eiichi Funatsu, Yoshikazu Nitta, Yasunari Miyake, Takashi Tovoda, Jun Ohta, and Kazuo Kyuma, 'An Artificial Retina Chip with Current-Mode Focal Plane Image Processing Functions', IEEE TRANSACTION ON ELECTRON DEVICES, Vol. 44, No. 10. pp. 1777-1782. 1997 https://doi.org/10.1109/16.628836