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A transputer implementation of systolic arrays design for low-level medical image processing

Amin S., Saeed M.

Image Processing & Communications

2000

Vol. 6, no 3-4

35-45

Many low-level image processing operations, termed local operators, require access to the four or eight neighbouring intensity values of a pixel, when computing the new value for the pixel and need large amounts of computing i.e., banded matrix operations. However, these algorithms contain explicit parallelism which can be efficiently exploited by processor arrays. The purpose of this paper is to identify a set of systolic array designs suitable for implementing low level image processing algorithms for medical images of tissues on VLSI processing arrays, in particular we consider the sigma, inverse gradient and mean filters. To achieve high performance we have developed several models of systolic arrays. One of the aims of this is to design and build a programming workbench for developing image processing operations for low-level vision. The motivation for the work is to develop a methodology for the implementation of an image processing library on the Transputer network, which holds a library of precoded software components in a generalised configuration-independent style for medical images. The digital image processing filter library is discussed in thispaper.