The Complex Method to the Solution of the Problem of Polychromatic Images Segmentation
V.V. Bryzgalin1, E.A. Danilov2, I.I. Salnikov3
1V.V. Bryzgalin, Post-Graduate Student, Penz STU, Penza, Russia.
2E.A. Danilov, Ph.D, Technical Sciences, Penz STU, Penza, Russia.
3I.I. Salnikov, Doctor of Technical Science, Professor Head, Department of Computing Machines & Systems Penz STU, Penza.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 860-865 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11420986S319/19©BEIESP | DOI: 10.35940/ijeat.F1142.0986S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Segmentation, Polychromatic Image, Local Area, Sobel Operator For Edge Detection, Areas Edge Detection, Grayscale Image, Aerial Photography, Electronic Map, Brightness Gradient, Images Recognition
Scope of the Article: Image Security