Two observations are worthy of note. First, the experiencedoptical engineer can usually determine, sometimes partly subjectively,the positions of phase wraps in the image. This suggests that theinformation necessary to identify phase wraps does exist. Second, todate, no universally applicable technique for phase wrap detection isavailable. Indeed, it may be that there is no straight forwardanalytical method that can be used. The concept of a neuron was firstpostulated by McCulloch and Pitts (1943) and a neural network provides amechanism by which a machine can learn from experience. The foregoingdiscussion suggests that neural network technology may be suitable foraddressing the phase unwrapping problem. This paper describespreliminary work on the use of neural networks to identify phase wrapsearlier in the phase measuring process, prior to the calculation ofwrapped phase
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