Parallel Image Analysis (Lecture Notes in Computer Science) de Akira Nakamura

Parallel Image Analysis: Second International Conference, ICPIA '92, Ube, Japan, December 21-23, 1992. Proceedings: Lecture Notes in Computer Science, cartea 654

Akira Nakamura

Maurice Nivat

Ahmed Saoudi

Patrick S.P. Wang

Katsushi Inoue

This volume contains the papers selected for presentation atthe Second International Conference on Parallel ImageAnalysis (ICPIA '92), held in Ube, Japan, December 21-23,1992.The conference topics are data structures, parallelalgorithms and architectures, neural networks, computationalvision, syntactic generation and recognition, andmultidimensional models. The first meeting with these topicswas theInternational Colloquium on Parallel ImageProcessing, which took place in Paris in June 1991. The aimof the meetings is to bring together specialistsfromvarious countries who are interested in the topics and tostimulatetheoretical and practical research in the field ofparallel image processingand analysis.The volume contains three invited papers, a summary of atutorial lecture, and twenty selected and refereedcommunications.

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Cuprins

From equations to hardware. Towards the systematic mapping of algorithms onto parallel architectures.- Visual pattern recognition with neural networks.- Object recognition by a self-organizing neural network which grows adaptively.- Intelligent pattern recognition and applications.- Path-controlled graph grammars for syntactic pattern recognition.- Describing objects by a multi-resolution syntactic approach.- Parallel manipulations of octrees and quadtrees.- Vision reflex operators.- Note on two-dimensional pattern matching by optimal parallel algorithms.- An efficient line drawing algorithm for parallel machines.- A characterization of recognizable picture languages.- Constant leaf-size hierarchy of two-dimensional alternating turing machines.- Shape recovery and error correction based on hypothetical constraints by parallel network for energy minimization.- Use of gradated patterns in associative neural memory for invariant pattern recognition.- Context-sensitivity of puzzle grammars.- Parallel generation and parsing of array languages using reversible cellular automata.- Parallel recognition of multidimensional images using regular tree grammars.- Optimal parallel algorithms for multidimensional image template matching and pattern matching.- Learning of recognizable picture languages.- Circular DNA and splicing systems.- Learning even equal matrix languages based on control sets.- Parallel dynamic programming algorithms for image recognition based on its contour.- Neural model for pattern recognition.- Three-dimensional sequential/parallel universal array grammars and object pattern analysis.