Proceedings PaperImage Processing By Computer-Generated Binary Filters
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The application of spatial filtering has recently received new impetus. It has been demonstrated that spatial filters can be produced which contain not only amplitude information but also a record of the desired phase. This is done by applying holographic techniques in producing matched filters, i.e., filters that represent the complex conjugate of the Fourier transform of the object function. Filters of a new kind, called binary spatial filters, have several advantages over holographically produced matched filters. First, since the transmittances of the new filters have values only of 0 or 1, oversized representations can be conveniently produced by a computer-guided plotter, and then photo-graphically reduced to the desired size. Second, the filter function need not exist physically; it must only be capable of mathematical description for the computer. Third, not only binary matched filters can be generated by computer, but also filters for a variety of other image-processing operations, such as code translation and differentiation.