Abstract

This paper discusses surface-segmentation methods in three-dimensional space in terms of a solution of the problem of structural comparison of images. An algorithm is presented for comparing images in three-dimensional space, and methods are considered for making the developed algorithm more stable against the picture-taking conditions. A quantitative estimate is given for the segmentation accuracy and the response rate of the methods being studied. Based of the results of the investigation, a modification of the image-comparison algorithm is proposed.

© 2015 Optical Society of America

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