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This paper discusses the design of binary image operators from training data and its relation to Boolean function learning. An extended version of the incremental splitting of intervals (ISI) algorithm for Boolean function learning and some improvements and heuristics to reduce its processing time are proposed. Some examples illustrate the application of the algorithm.