Abstract
An intelligent vision sensing system with adaptive edge-enhancement filter was developed. The system is designed based on an analog-digital mixed architecture and comprised of a 128x128-pixel photosensor array, an analog resistive network circuit, a field-programmable gate array (FPGA), and a digital computer. The system operates at a frame rate of 30 fps. The adaptation process of edge-enhancement filter is implemented as a frame-by-frame selection of filter from predefined set of bandpass filters. Because these filters are normalized according to the response to the statistically-averaged natural images, an optimized filter can be selected by comparing the energy values of the filtered image.
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