Parallel processing on transputer arrays for the recognition of objects in infra-red images

Previous work has shown that a simple measure of the shape of the autocorrelation function is a useful discriminant for target classification in infra-red images. It has been found that it is possible to recognise vehicles from texture information and, because object shape information is not used, it is well suited to thermal imagers which may not resolve shape or edge details. The algorithms in the paper have been adapted and developed for evaluation on arrays of transputers. Much experience has been gained in the design and development of algorithms and the approach required for efficient use of transputers