Parallel Image Processing Algorithms Based on Mathematical Morphology Using a Multiple-Imaging System

Abstract

Morphological techniques are applied to binary image processors in a multiple-imaging optical system and the following algorithms are proposed: performing morphological basic operations, extraction of boundary lines, detection of characteristic points in small-scale patterns, elimination of salt noises with few pixels, and smoothing of boundaries. Techniques for processing a complicated binary image are demonstrated using the algorithms and a hybrid parallel computing system with a simple optical multiple-imaging system and a personal computer.