Automatic leaf segmentation using grey Wolf optimizer based neural network

dc.contributor.authorÖztürk, Şaban
dc.contributor.authorAkdemir, Bayram
dc.date.accessioned2020-03-26T19:43:43Z
dc.date.available2020-03-26T19:43:43Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description21st International Conference on Electronics -- 19 June 2017 through 21 June 2017 -- 129782en_US
dc.description.abstractThis study proposes a hybrid neural network model for the segmentation of leaf images with various illumination conditions. Segmentation of images with different illumination conditions is a quite challenging process. In particular, the shadows and dark regions in the image can be quite misleading for traditional segmentation algorithms. Using a single feature or reviewing them in a single colour space may work for some images, but this approach does not work on the entire dataset that have different colour. For this reason, automatic segmentation method is proposed in this study by using components from four different colour spaces. Firstly, the image is converted into RGB, HSV, XYZ and YIQ channels. Then, B, S, Z and I components are used to train hybrid neural network. Grey wolf optimizer is used for neural network optimization. The segmentation results of proposed method are compared with the well-known segmentation algorithms and are more successful. The results of proposed method are that sensitivity is 99.66 %, specificity is 98.42 % and accuracy is 99.31 %. © 2017 IEEE.en_US
dc.identifier.doi10.1109/ELECTRONICS.2017.7995228en_US
dc.identifier.isbn9.78154E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1109/ELECTRONICS.2017.7995228
dc.identifier.urihttps://hdl.handle.net/20.500.12395/35740
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the 21st International Conference on Electronicsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectgrey Wolf optimizeren_US
dc.subjecthybrid neural networken_US
dc.subjectillumination conditionen_US
dc.subjectLeaf segmentationen_US
dc.titleAutomatic leaf segmentation using grey Wolf optimizer based neural networken_US
dc.typeConference Objecten_US

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