A CMOS image processing sensor for the detection of image features

Loading...
Thumbnail Image
Penn collection
Departmental Papers (ESE)
Degree type
Discipline
Subject
feature detection
vision sensor
smart sensor
computational sensor
template-matching
transistor mismatch
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Nishimura, Masatoshi
Contributor
Abstract

A compact CMOS vision sensor for the detection of higher level image features, such as corners, junctions (T-, X-, Y-type) and linestops, is presented. The on-chip detection of these features significantly reduces the data amount and hence facilitates the subsequent processing of pattern recognition. The sensor performs a series of template matching operations in an analog/digital mixed mode for various kinds of image filtering operations including thinning, orientation decomposition, error correction, set operations, and others. The analog operations are done in the current domain. A design procedure, based on the formulation of the transistor mismatch, is applied to fulfill both accuracy and speed requirements. The architecture resembles a CNN-UM that can be programmed by a 30-bit word. The results of an experimental 16x16 pixel chip demonstrate that the sensor is able to detect features at high speed due to the pixel-parallel operation. Over 270 individual processing operations are performed in about 54 µsec.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2005-12-01
Journal title
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Postprint version. Published in Analog Integrated Circuits and Signal Processing, Volume 45, Issue 3, December 2005, pages 263-279. The original publication is available at www.springerlink.com. Publisher URL: http://dx.doi.org/10.1007/s10470-005-4955-x
Recommended citation
Collection