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Analysis of impact of an edge effect on efficacy of selected texture analysis methods

Kupidura P., Górski K., Jeżowska W., Jankowska A.

Teledetekcja Środowiska

2015

T. 53

15--26

This paper presents the comparison of efficacy of three selected methods of texture analysis: Grey Level Co-occurence Matrix (GLCM) based entropy, Laplace operations and granulometric analysis, in the context of the edge effect. This effect means identifying edges of objects in an image as places of high texture, regardless of the real nature of the texture of the objects. It can significantly decrease the efficacy of selected methods of texture analysis. The article provides a brief presentation of the principal cause of this effect and also, shortly, the basics of the tested methods of texture analysis. The experiments were carried out on the VHR satellite image Pleiades (2m GSD), on the selected samples (test areas) of four land use/cover classes having different texture. The separation of these test areas in different texture images was assessed using Jeffries-Matusita distance. The results prove the significance of impact of the edge effect on the selected methods of texture analysis (GLCM entropy and Laplace operations), but they also show that a granulometric analysis is generally insusceptible to this effect, and thereby it provides the best discrimination of land use/cover classes of different texture.