Focal plane image segmentation using locally interconnected spiking pixel architecture

Amine Bermak; Matthias Hofinger

Focal plane image segmentation using locally interconnected spiking pixel architecture

Amine Bermak^*, Matthias Hofinger

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

In this paper we describe a focal-plane image segmentation architecture using an array of spiking pixels. We first describe the spiking pixel architecture which can be used in a locally interconnected network in order to perform image capture as well as image segmentation. Inspired from Biological visual systems and the integrate and fire oscillator, three different schemes are studied and their ability to perform image segmentation is compared. Simulation results demonstrate that heavy computational processing such as image segmentation can be realized with spiking pixel architecture organized in locally interconnected networks allowing them to be very suitable for VLSI implementation. Each pixel within the focal plane processing image sensor occupies an area of only 45 × 45μm² using CMOS 0.25μm technology.

Original language	English
Pages (from-to)	V833-V836
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	5
Publication status	Published - 2003
Externally published	Yes
Event	Proceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, Thailand Duration: 25 May 2003 → 28 May 2003

Cite this

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title = "Focal plane image segmentation using locally interconnected spiking pixel architecture",

abstract = "In this paper we describe a focal-plane image segmentation architecture using an array of spiking pixels. We first describe the spiking pixel architecture which can be used in a locally interconnected network in order to perform image capture as well as image segmentation. Inspired from Biological visual systems and the integrate and fire oscillator, three different schemes are studied and their ability to perform image segmentation is compared. Simulation results demonstrate that heavy computational processing such as image segmentation can be realized with spiking pixel architecture organized in locally interconnected networks allowing them to be very suitable for VLSI implementation. Each pixel within the focal plane processing image sensor occupies an area of only 45 × 45μm2 using CMOS 0.25μm technology.",

author = "Amine Bermak and Matthias Hofinger",

year = "2003",

language = "English",

volume = "5",

pages = "V833--V836",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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note = "Proceedings of the 2003 IEEE International Symposium on Circuits and Systems ; Conference date: 25-05-2003 Through 28-05-2003",

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T1 - Focal plane image segmentation using locally interconnected spiking pixel architecture

AU - Bermak, Amine

AU - Hofinger, Matthias

PY - 2003

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N2 - In this paper we describe a focal-plane image segmentation architecture using an array of spiking pixels. We first describe the spiking pixel architecture which can be used in a locally interconnected network in order to perform image capture as well as image segmentation. Inspired from Biological visual systems and the integrate and fire oscillator, three different schemes are studied and their ability to perform image segmentation is compared. Simulation results demonstrate that heavy computational processing such as image segmentation can be realized with spiking pixel architecture organized in locally interconnected networks allowing them to be very suitable for VLSI implementation. Each pixel within the focal plane processing image sensor occupies an area of only 45 × 45μm2 using CMOS 0.25μm technology.

AB - In this paper we describe a focal-plane image segmentation architecture using an array of spiking pixels. We first describe the spiking pixel architecture which can be used in a locally interconnected network in order to perform image capture as well as image segmentation. Inspired from Biological visual systems and the integrate and fire oscillator, three different schemes are studied and their ability to perform image segmentation is compared. Simulation results demonstrate that heavy computational processing such as image segmentation can be realized with spiking pixel architecture organized in locally interconnected networks allowing them to be very suitable for VLSI implementation. Each pixel within the focal plane processing image sensor occupies an area of only 45 × 45μm2 using CMOS 0.25μm technology.

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M3 - Conference article

AN - SCOPUS:0038419790

SN - 0271-4310

VL - 5

SP - V833-V836

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 2003 IEEE International Symposium on Circuits and Systems

Y2 - 25 May 2003 through 28 May 2003

ER -

Focal plane image segmentation using locally interconnected spiking pixel architecture

Abstract

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