INFORMATION CHANGE THE WORLD

### International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

IJMECS Vol.12, No.3, Jun. 2020

#### Vector Image Retrieval Methods Based on Fuzzy Patterns

Full Text (PDF, 826KB), PP.8-16

#### Author(s)

Yevgeniya Sulema, Etienne Kerre, Oksana Shkurat

#### Index Terms

Information Retrieval;Pattern Recognition;Image Processing;Fuzziness

#### Abstract

In this work we present two methods of vector graphic objects retrieval based on a fuzzy description of their shapes. Both methods enable the retrieval of vector images resembling to a given fuzzy pattern. The basic method offers a geometrical interpretation of a fuzziness measure as a radius of a circle with the center in each vertex of a given candidate object. It enables the representation of uncertain information about a pattern object defined by its “fuzzy” vertices. The advanced method generalizes this approach by considering an ellipse instead of a circle. The basic method can be used for the comparison of polygons and other primitives in vector images. The advanced method can be used for complex shapes retrieval. To enable saving a “fuzzy” image as a file, the modification of the SVG format with a new attribute “fuzziness” is proposed for both methods. The advanced method practical implementation is illustrated by the retrieval of medical images, namely, heart computer tomography images.

#### Cite This Paper

Yevgeniya Sulema, Etienne Kerre, Oksana Shkurat, " Vector Image Retrieval Methods Based on Fuzzy Patterns", International Journal of Modern Education and Computer Science(IJMECS), Vol.12, No.3, pp. 8-16, 2020.DOI: 10.5815/ijmecs.2020.03.02

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