ABSTRACT
It is unusual to pick up a book on image analysis without finding at least a portion of it devotedto a discussion of Fourier transforms (see especially Pratt, 1991; Gonzalez and Wintz, 1987;Jain, 1989). In part, this is due to the utility of working in frequency space to perform certain image measurement and processing operations. Many of these same operations can be performed in the original (spatial or pixel domain) image only with significantly greater computational effort. Another reason for the lengthy sections on these methods is that the authors frequently come from a background in electrical engineering and signal processing and so are familiar with the mathematics and the use of these methods for other types of signals, particularly the one-dimensional (time varying) electrical signals that make up much of our modern electronics.
