An Efficient Object Extraction with Graph-Based Image Segmentation

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dc.contributor.authorSaglam, Ali
dc.contributor.authorBaykan, Nurdan Akhan
dc.date.accessioned2020-03-26T19:00:44Z
dc.date.available2020-03-26T19:00:44Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT) -- DEC 08-10, 2015 -- Kuala Lumpur, MALAYSIAen_US
dc.description.abstractObject extraction process is a closely related issue with image segmentation process. To separate an image to several segments formed similar pixels, many methods are proposed in the area of image processing. Graph-based image segmentation is also one of the segmentation methods. Because of their representation convenience and ease of use, graphs are used as important tools in many image processing applications. While an image segmentation process runs, the processes splitting a graph to sub graphs and merging sub graphs are carried out in the meanwhile. To fulfill these processes, the method uses some local features such as differences between vertices in the graph, which represent pixels, or global features of the image and its segments. To extract an object from an image, we first segmented the entire image, because of to save global features, or to obtain more accurate segmentation. Finally, we extract the intended object from the image by merging the segments that are inside the area drawn before by us. We test the method on some images in the Segmentation Evaluating Database from Weizmann Institute of Science and evaluate the segmentation results. Our F-measure score values show that it seems noticeable good segmentation.en_US
dc.description.sponsorshipDesign sci Renaissance, UNiTECH, PECAMP, MSTIen_US
dc.description.sponsorshipSelcuk University OYP Coordination [2015-OYP-094]en_US
dc.description.sponsorshipThis study was supported by Selcuk University OYP Coordination (Project No. 2015-OYP-094).en_US
dc.identifier.doi10.1109/ACSAT.2015.29en_US
dc.identifier.endpage91en_US
dc.identifier.isbn978-1-5090-0424-9
dc.identifier.issn2379-7738en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage86en_US
dc.identifier.urihttps://dx.doi.org/10.1109/ACSAT.2015.29
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31826
dc.identifier.wosWOS:000454655600016en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 4TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE APPLICATIONS AND TECHNOLOGIES (ACSAT)en_US
dc.relation.ispartofseriesInternational Conference on Advanced Computer Science Applications and Technologies
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSegmentationen_US
dc.subjectObject Extractionen_US
dc.subjectGraphen_US
dc.subjectMinimum Spanning Treeen_US
dc.titleAn Efficient Object Extraction with Graph-Based Image Segmentationen_US
dc.typeConference Objecten_US

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