Stephen D. Shapiro

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Hough-like transforms may be used to detect curves in digital pictures. Applications of this technique are surveyed. The essentially parallel character of transforms is discussed. Elements of theory are presented for performance prediction together with simulated results. Line detection Edge linking Image processing Picture transforms Pattern recognition(More)
Graphical techniques are presented for estimating Hough transform performance for detecting straight lines in noisy digital pictures. The methods show explicitly the influence of noise due, for example, to quantizing errors on the accuracy of estimating the underlying sets of collinear points. Exact bounds are obtained for sets of collinear points showing(More)
Procedures are presented for reducing page faults by program restructuring and utilization of bin packing techniques. A Markov model is presented and used as a basis for the methods presented. Parameter estimation of appropriate software statistics for the model is given. The techniques described are applicable to completed programs as weli as those under(More)