Computational Mathematics

Problem of aggregation for edge detection of objects on image

A. V. Martyanova^ab, V. G. Labunets<sup>a

a</sup> Ural Federal University, Yekaterinburg, Russian Federation
^b Scientific and Production Association of Automatics Named After Academician N.A. Semikhatov, Yekaterinburg, Russian Federation

Abstract: In the article, we consider in detail Roberts, Prewitt, Sobel, Sharr methods of digital images edge detection for objects. To improve them used aggregation operators. In the project there developed the algorithms of images difference, the selection algorithms aggregation operators to find the boundaries of objects, the algorithms for statistical evaluation at a differentiated image. The modeling experiment results allow to determine the advantages and disadvantages of the gradient methods in digital image processing.

Keywords: differentiation, edge detection, aggregation, aggregation operators, averages, statistical estimation.

UDC: 004.92

Received: 25.11.2015

DOI: 10.14529/cmse160201

Bibliographic databases:

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