Abstract
Fish-eye photographic lenses which project a hemispherical object region onto a circular image plane are often used to capture complex geometrics of radiating environments. Manual methods are currently used to analyse the resulting photographs. This paper uses hemispherical density functions to develop algorithms which provide for the automated analysis of digitised fish-eye lens images, thus making feasible the analysis of large data sets of such images.
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