Combining image sensing and Gabor-type filtering in analog VLSI

Author

Shi, Bertram E.

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong

fYear

1998

fDate

14-17 Apr 1998

Firstpage

237

Lastpage

242

Abstract

We describe the design, implementation and test results from an analog CMOS VLSI cellular neural network chip which integrates photosensing and an image filtering operation similar to Gabor-filtering. The design reported senses a one-dimensional 27 pixel input image focused onto the chip and generates three outputs at every pixel: the input image intensity, the real part of the filter output, and the imaginary part of the filter output. Test results indicate that the chip functions as expected

Keywords

CMOS analogue integrated circuits; VLSI; cellular neural nets; computer vision; filters; image sensors; neural chips; Gabor-type filtering; VLSI; analog CMOS neural chip; cellular neural network; image filtering; image intensity; image sensing; Cellular neural networks; Circuits; Filtering; Gabor filters; Pixel; Resistors; Testing; Transconductance; Very large scale integration; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on

Conference_Location

London

Print_ISBN

0-7803-4867-2

Type

conf

DOI

10.1109/CNNA.1998.685374

Filename

685374

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2629536