A Foveated CMOS Retina Chip for Edge Detection with Local Light-Adaptation Function
Human retina can detect a wide range of light intensity. In this research, a foveated structure retina chip with 32×32 pixels for edge detection has been designed. We use the biologically-inspired visual signal processing mechanism that consists of photoreceptor, horizontal cell and bipolar cell for edge detection. Based on the neuromorphic approach, we designed a CMOS retina chip which has a local light-adaptive Junction, so that the size of receptive field is changed locally according to the input light intensity. The spatial distribution of sensing pixels in the foveated retina chip has the advantage of selective reduction of image data and good resolution in central part to carry out the elaborate image processing with still enough resolution in the outer parts. Taking the output as the voltage made measurements easier than measuring the output current directly. The chip has been designed using standard 0.6μm double-poly triple-metal CMOS technology and optimized using HSPICE simulator.
Jang-Kyoo Shin Dae-Sik Park Soo-Kyung Lee Hyun-Soo Kim Jong-Ho Park Jung-Hwan Kim Minho Lee Hitoshi Yamada Hiroo Yonezu
School of Electronic and Electrical Engineering,Kyungpook National University 1370 Sankyuk-dong, Puk Department of Electrical and Electronic Engineering,Toyohashi University of Technology 1-1 Hibarigao
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1252-1256
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）