Separation of Fire Images with Biogeography-Based Optimization

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dc.authoridHanbay, Davut/0000-0003-2271-7865
dc.authoridTOPTAŞ, Buket/0000-0003-2556-8199;
dc.authorwosidHanbay, Davut/AAG-8511-2019
dc.authorwosidTOPTAŞ, Buket/HTL-3938-2023
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.contributor.authorToptas, Buket
dc.contributor.authorHanbay, Davut
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:45:47Z
dc.date.available2024-08-04T20:45:47Z
dc.date.issued2018
dc.departmentİnönü Üniversitesien_US
dc.descriptionInternational Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYen_US
dc.description.abstractUsage of color information of object is one of the most popular image processing based object detection method. In this work, a method has been proposed for separating color pixels of target objects from other object color pixels in the image. A fire/flame dataset was used for the target colored object. The proposed method consists of three stage. In the first stage, the flame and non-flame color pixels, taken from this dataset, are combined in a feature matrix. In the second stage, the feature matrix is subjected to linear multiplication with a 3*3 conversion matrix whose initial values are randomly generated. The error values of the linear multiplication result are calculated by the K-means algorithm and then these error values are optimized by the Biogeography Based Optimization (BBO) algorithm. In the last stage, the optimal conversion matrix is applied on the images and the color distribution of the target color pixels in three dimensional space is examined.en_US
dc.description.sponsorshipInonu Univ, Comp Sci Dept,IEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-6878-8
dc.identifier.scopus2-s2.0-85062526134en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/11616/98693
dc.identifier.wosWOS:000458717400034en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2018 International Conference on Artificial Intelligence and Data Processing (Idap)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFire/Flameen_US
dc.subjectObject Detectionen_US
dc.subjectBBOen_US
dc.subjectColor Distributionen_US
dc.titleSeparation of Fire Images with Biogeography-Based Optimizationen_US
dc.typeConference Objecten_US

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