Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57094
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dc.contributor.authorChanon Seel-Audomen_US
dc.contributor.authorWassana Naiyapoen_US
dc.contributor.authorVarin Chouvatuten_US
dc.date.accessioned2018-09-05T03:34:58Z-
dc.date.available2018-09-05T03:34:58Z-
dc.date.issued2017-03-23en_US
dc.identifier.other2-s2.0-85017519890en_US
dc.identifier.other10.1109/KST.2017.7886098en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85017519890&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57094-
dc.description.abstract© 2017 IEEE. This paper proposes a model for detecting objects with geometric shapes in an image whose file format is SVG (Scalable Vector Graphics). The SVG is known as a type of vector images. A major interesting feature of SVG is that components in victor images are created using mathematical theories and equations, in addition, vector images have many more advantages over raster images in various aspects. Moreover, an object's details in a human's sight, a triangle for example, is looked as it has three corners. But the true shape created in SVG of the object may be different from the human's limited sight. Observing these gaps or limitation, we thus propose alternatively simple methods for processing on objects with geometric shapes directly in a vector image without loss of any details in its original form.en_US
dc.subjectComputer Scienceen_US
dc.subjectMedicineen_US
dc.titleA search for geometric-shape objects in a vector image: Scalable Vector Graphics (SVG) file formaten_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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