A robust eigenspace method for obtaining feature values in high-speed massively parallel vision systems

Abstract.

Image-processing systems, each consisting of massively parallel photodetectors and digital processing elements on a monolithic circuit, are currently being developed by several researchers. Some earlyvision-like processing algorithms are installed in the vision systems. However, they are not sufficient for applications because their output is in the form of pattern information, so that, in order to respond to input, some feature values are required to be extracted from the pattern. In the present paper, we propose a robust method for extracting feature values associated with images in a massively parallel vision system.