Parallel Image Analysis

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.