Polymorphic-Torus Architecture for Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Computers
Parts of Visual Form: Computational Aspects
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Parallel and Distributed Systems
A Fast Parallel Algorithm for Convex Hull Problem of Multi-Leveled Images
Journal of Intelligent and Robotic Systems
Efficient Parallel Processing of Image Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local Reproducible Smoothing Without Shrinkage
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locating Perceptually Salient Points on Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Simple Decomposition for Smoothing and Feature Point Detection of Noisy Digital Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of stroke structures of handwritten Chinese characters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Structural pattern recognition using genetic algorithms with specialized operators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Given a multi-leveled image of size n × n, stored in areconfigurable mesh computer of the same size one point perprocessing element (PE). In this paper, we propose a parallelalgorithm for structural characterization of all the components ofthe image. The algorithm is based on the representation ofcomponent contour by straight line segments to reduce the volume ofdata processing. The resulted contours are simultaneously processedusing the contour running approach. The pertinent data obtainedafter the component characterization are used in the filteringapplication and to develop an algorithm for the convex hull searchfor all the image components. Our algorithm is assigned to beimplemented on a reconfigurable mesh computer and is of θ(1)time complexity.