Titlebook: Real-Time Parallel Computing; Image Analysis Morio Onoe,Kendall Preston,Azriel Rosenfeld Book 1981 Plenum Press, New York 1981 Area.algorit

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Region Relaxation in a Parallel Hierarchical Architectureof a large spatial array of pixels into a more compact description of the image in terms of visually distinct syntactic elements and their characteristics. These “l(fā)ow-level” processes may achieve the desired goal directly or may serve as the input to a further set of interpretation processes.

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Generalized Cellular Automatays of input data. This chapter summarizes work done over the past few years at the University of Maryland on generalizations of the basic cellular automaton concept. It shows how the speed and power of cellular automata can be increased by extending the array into an appropriately connected larger s

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A Study on Parallel Parsing of Tree Languages and Its Application to Syntactic Pattern Recognition effective method for the classification of bubble chamber events, fingerprint pattern recognition, and the LANDSAT data interpretation as discussed in Fu (1977). Instead of using a string representation of primitives and relations, tree systems use a tree structure to represent a pattern in terms o

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Languages for Parallel Processing of Imagesge size is 512×512. If the image is a 3-color image, this means that approximately 1 million bytes of data are present in the single-frame output of an ordinary television scanner. If the television scanner operates at 15 frames per second, then the full data transfer rate is more than 10 megabytes

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Hybrid Image Processing Using a Simple Optical Techniqueulate the two-dimensional (2-D) convolution often used for image processing. On the other hand, an optical processor can do the 2-D convolution at very high speeds but not with great arithmetic precision. Division is especially difficult by means of optical methods. The fundamentals of hybrid proces

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