
The Complex Method to the Solution of the Problem of Polychromatic Images Segmentation
Author(s) -
V.V. Bryzgalin,
E.A. Danilov,
И. И. Сальников
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f1142.0986s319
Subject(s) - segmentation , artificial intelligence , computer science , computer vision , enhanced data rates for gsm evolution , image segmentation , selection (genetic algorithm) , edge detection , pattern recognition (psychology) , image (mathematics) , image processing
The article touchs upon the problem of polychromatic images segmentation. It is a very urgent issue, because today the sphere of electronic mapping has rapidly been evolving. The research aims at developing a technique of adaptive segmentation and implementing it as a program for a PC. Aerial snapshots taking from the countryside are treated as objects of our research. The developed method combines background areas detection, edge detection and dimensions selection. The experiment has been carried out. It proves the effeciency of the developed technique.