On the design and implementation of a parallel, object-oriented, image processing toolkit

摘要

Advances in technology have enabled us to collect data from observations. Experiments, and simulations at an ever increasing pace. As these data sets approach the terabyte and petabyte range, scientists are increasingly using semiautomated techniques from data mining and pattern recognition of find sueful information in the data. In order for data mining to be successful, the raw data must first be processed into a form suitable for the detection of patterns. When the data is in the form of images, this can involve a substantial amount of processing on very large data sets.