  A novel image analysis algorithm as applied to images of Nuclear Track
Detectors (NTD) is presented. This process, involving sequential application of
deconvolution and convolution techniques, followed by the application of
Artificial Neural Network (ANN), is identifying the etch-pit openings in NTD
images with a higher degree of success compared to other conventional image
analysis techniques.
