A vision sensor system with a real-time multi-scale filtering function
by Shinsuke Yasukawa; Hirotsugu Okuno; Seiji Kameda; Tetsuya Yagi
International Journal of Mechatronics and Automation (IJMA), Vol. 4, No. 4, 2014

Abstract: We developed a compact and energy-efficient vision sensor system that separates an image into a set of spatial frequency bands at 50 fps. The vision sensor system comprises a photo-sensor array, a metal-oxide-semiconductor (MOS)-based resistive network, and a field-programmable gate array (FPGA). To apply multiple spatial filters efficiently, which is required for the separation of an image, we employed a MOS-based resistive network, whose strengths are instantaneous filtering, configurable filter size, and low power consumption. A digital circuit for controlling the filter size of the resistive network was programmed in the FPGA; this circuit changes the filter size four times in a single frame sampling period. This control scheme generates four filtered images from a single resistive network. This system was applied to edge extraction of a photograph or a movie of natural scenes, and it was successful in extracting edges and separating them by spatial frequencies in real time, e.g., the outline and stripe patterns of a zebra.

Online publication date: Wed, 17-Dec-2014

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