Image Segmentation/Extraction Using Nonlinear Cellular Networks and Their VLSI Implementation Using Pulse-Modulation Techniques

• ANDO Hiroshi

  the Graduate School of Engineering, Hiroshima University

• MORIE Takashi

  the Graduate School of Advanced Sciences of Matter, Hiroshima University

• MIYAKE Makoto

  Matsushita Electric Industrial Co., Ltd.

• NAGATA Makoto

  the Graduate School of Advanced Sciences of Matter, Hiroshima University

• IWATA Atsushi

  the Graduate School of Advanced Sciences of Matter, Hiroshima University

Abstract

This paper proposes a new method for image segmentation and extraction using nonlinear cellular networks. Flexible segmentation of complicated natural scene images is achieved by using resistive-fuse networks, and each segmented regions is extracted by nonlinear oscillator networks. We also propose a nonlinear cellular network circuit implementing both resistive-fuse and oscillator dynamics by using pulse-modulation techniques. The basic operation of the nonlinear network circuit is confirmed by SPICE simulation. Moreover, the 10×10-pixel image segmentation and extraction are demonstrated by high-speed circuit simulation.

Journal

• IEICE Trans. Fundamentals

  IEICE Trans. Fundamentals 85 (2), 381-388, 2002-02-01

  The Institute of Electronics, Information and Communication Engineers

Keywords

• resistive-fuse network
• oscillator network
• image segmentation
• image extraction
• pulse modulation circuit

Details

• CRID: 1571698602418768000
• NII Article ID: 110003216743
• NII Book ID: AA10826239
• ISSN: 09168508
• Text Lang: en
• Data Source:
  • CiNii Articles