Abstract:
Edge detection is a vital preprocessing step towards
high-level image analysis. One of its many applications of edge is
that it can be used in image compression where accurate edge
detection is required. A way for improving the accuracy and
quality of edge detection of noisy contaminated image is to
preserve edge details while removing noise. In this paper Spiral
Architecture is used to sample image data. Spiral Architecture
provides powerful computational power and enables image to be
uniformly partitioned and distributed to various processors for
parallel processing. This paper shows the implementation of
recently developed bilateral flltering technique in Spiral
Architecture for edge-preserving smoothing of noise in images.
