Paper Title
FPGA Implementation Of A Distributed Canny Edge Detector
Abstract
Edges represent the significant local changes in the intensity of an image. Image Edge detection significantly
reduces the amount of data and filters out useless information, while preserving the important structural properties of an
image. A distributed canny edge detection algorithm is used which results in the reduced memory requirements, decreased
latency and increased throughput with no loss in the performance of the edge detection, when compared to that of the
original Canny algorithm. An FPGA-based hardware architecture of the proposed algorithm is synthesized on Xilinx virtex-2
pro.