²This paper introduces a parallelization of fuzzy logic-
based image processing using Graphics Processor Units (GPUs).
Using an NVIDIA 8800 Ultra, a 126 time speed improvement can
be made to fuzzy edge extraction making its processing real-time.
The GPU can process approximately 42 frames per second at
640x480 image resolution, thus 307,200 inference processes per
frame. With a computational speed improvement of over two
orders of magnitude, more time can be allocated to higher level
computer vision algorithms. This GPU solution is described
using NVIDIAs Compute Unified Device Architecture (CUDA).