Title :
Combining image sensing and Gabor-type filtering in analog VLSI
Author_Institution :
Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
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;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685374