A vision sensor system with a real-time multi-scale filtering function Online publication date: Wed, 17-Dec-2014
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
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Automation (IJMA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org