Computer Vision, Graphics, and Image Processing
Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Topics in advanced scientific computation
Topics in advanced scientific computation
Two Image-Template Operations for Binary Image Processing
Journal of Mathematical Imaging and Vision
Parallel Processing; The Transputer and Its Applications
Parallel Processing; The Transputer and Its Applications
Parallel Architectures and Parallel Algorithms for Integrated Vision Systems
Parallel Architectures and Parallel Algorithms for Integrated Vision Systems
A Self-Optimising Coprocessor Model for Portable Image Processing
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
Rank-based decompositions of morphological templates
IEEE Transactions on Image Processing
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In this paper, we propose a method for efficiently computing variant templates for image processing on parallel machines. It is demonstrated that the cumbersome computation of the variant templates can greatly be relieved by the use of an optimised algorithm for evaluating polynomials at grid points. For variant templates containing non-polynomial functions, the Taylor series of the function is exploited for iterative computation purpose. The aspects of validity, accuracy and effectiveness of the series form (for implementing the variant templates) of some commonly used functions are analysed in detail. The influence of hardware, as well as the limitations of the proposed approach are also discussed.