Vector Image Retrieval Methods Based on Fuzzy Patterns
Автор: Yevgeniya Sulema, Etienne Kerre, Oksana Shkurat
Журнал: International Journal of Modern Education and Computer Science @ijmecs
Статья в выпуске: 3 vol.12, 2020 года.
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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.
Information Retrieval, Pattern Recognition, Image Processing, Fuzziness
Короткий адрес: https://sciup.org/15017587
IDR: 15017587 | DOI: 10.5815/ijmecs.2020.03.02
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