Special purpose image convolution with evolvable hardware

Abstract

In this paper, we investigate a unique method of inventing linear edge enhancement operators using evolution and reconfigurable hardware. We show that the technique is motivated by the desire for a totally automated object recognition system. We show that an important step in automating object recognition is to provide flexible means to smooth images, making features more obvious and reducing interference. Next we demonstrate a technique for building an edge enhancement operator using evolutionary methods, implementing and testing each generation using the Xilinx 6200 family FPGA. Finally, we present the results and conclude by mentioning some areas of further investigation.