APPLICATION OF MATHEMATICAL MORPHOLOGY OPERATIONS FOR SIMPLIFICATION AND IMPROVEMENT OF CORRELATION OF IMAGES IN CLOSE-RANGE PHOTOGRAMMETRY

摘要

Mathematical morphology is a set theory approach, developed by J.Serra and G. Matheron. It provides an approach to digital image processing based on geometrical shape. Depending on the type of the operation, a specific characteristics of the objects in the image, like shape, size, neighborhood etc. can be take into an account.Morphology has an ability to make close range photogrammetry technology faster and to simplify a human work, if it is unavoidable. This paper presents conception of effectively working groups of morphology functions in particular image cases. Main emphasis is on the repeatability of results, which is important when taking many photos of one and the same object.Research aims to find right configuration of morphology tools for obtaining exact results in many photos. That means, that net of features extracted from each photo should fit the nets, taken from others. Our findings are presented in the paper.