Title :
Object-based selection within an analog VLSI visual attention system
Author :
Morris, Tonia G. ; Horiuchi, Timothy K. ; DeWeerth, Stephen P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
12/1/1998 12:00:00 AM
Abstract :
An object-based analog very large-scale integration (VLSI) model of selective attentional processing has been implemented using a standard 2.0-μm CMOS process. This chip extends previous work on modeling a saliency-map-based selection and scanning mechanism to incorporate the ability to group pixels into objects. This grouping, or segmentation, couples the circuitry of the object´s pixels to act as a single, larger pixel. The grouping of pixels is dynamic, driven solely by the segmentation criterion at the input. In this demonstration circuit, image intensity has been chosen for the input saliency map and the segmentation is based on spatial low-pass filtering followed by an intensity threshold. We present experimental results from a one-dimensional implementation of the object-based analog VLSI selective-attention system
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; focal planes; image segmentation; neural nets; object recognition; 2.0 micron; CMOS process; analog VLSI; focal planes; image intensity; intensity threshold; object segmentation; object-based selection; one-dimensional implementation; selective attentional processing; spatial low-pass filtering; visual attention system; Biological systems; CMOS process; Coupling circuits; Image segmentation; Large scale integration; Layout; Low pass filters; Power system reliability; Semiconductor device modeling; Very large scale integration;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
