Yanikoglu,B.Aptoula,E.Tirkaz,C.2024-10-152024-10-15201171613-0073[SCOPUS-DOI-BELIRLENECEK-144]2-s2.0-84922032436https://hdl.handle.net/20.500.14517/6724We describe our participation in the plant identification task of Image Clef 2011. Our approach employs a variety of texture, shape as well as color descriptors. Due to the morphometric properties of plants, mathematical morphology has been advocated as the main methodology for texture characterization, supported by a multitude of contour-based shape and color features. We submitted a single run, where the focus has been almost exclusively on scan and scan-like images, due primarily to lack of time. Moreover, special care has been taken to obtain a fully automatic system, operating only on image data. While our photo results are low, we consider our submission successful, since besides being our first attempt, our accuracy is the highest when considering the average of the scan and scan-like results, upon which we had concentrated our efforts.eninfo:eu-repo/semantics/closedAccessFourier descriptorsMathematical morphologyMorphological covariancePlant identificationSupport vector machinesConference ObjectQ41177