Imaging applications often require image warping in order to obtain a desired spatial effect. In implementing a warping technique, means for transforming and resampling the source data must be chosen. A forward or reverse transformation mapping can be selected, though interpolation is more accurate using the reverse format. When applying a noninvertible transformation, forward mapping becomes necessary. A technique called bin mapping introduces an intermediate storage mechanism which allows for precise interpolation while applying a forward transformation.
Mathematical morphology provides a geometric approach to image processing and pattern recognition. One important task in AM/FM conversion process is the recognition of various geometric objects in a utility map. In this paper, the AM/FM conversion process and the difficulties involved are briefly discussed. The application of morphological operators to utility map for shape recognition is presented. The comparison and relationship to the classical recognition techniques such as template matching and Hough transform are examined.
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