Kaya, BurhanDurdu, Akif2022-11-282022-11-2820229781665450928https://doi.org/10.1109/SIU55565.2022.9864783https://doi.org/10.1109/SIU55565.2022.9864783https://hdl.handle.net/20.500.13091/316330th Signal Processing and Communications Applications Conference, SIU 2022 -- 15 May 2022 through 18 May 2022 -- 182415Reflectance Transformation Imaging (RTI) is a method of photographing an object that reveals details that are invisible to the naked eye. The input of RTI consists of a series of images captured by a fixed positioned camera and each illuminated from a known and different direction by lights. Reflection Transform Imaging is widely used to produce quality models from multi-light image data. It is frequently preferred for various studies in the field of cultural heritage. For the first time in this paper, the RTI photographing method has been used outside of its traditional using way. It is used to solve the well-known problem of edge detection. Reflection transform cannot be used actively, because it is difficult to create an RTI experimental environment in daily life. However, under certain conditions, the approaches mentioned in this paper will be used in daily life, from the analysis of images in every field. In this paper, the ideas that it can be applied in every partially controlled area that needs high resolution object detection are discussed. With the method mentioned in this statement, a new approach has been proposed and proven based on RTI basics for edge and corner detections. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessEdge DetectionEdge HighlightingReflectance Transformation ImagingRTIEdge detectionObject detectionCultural heritagesDaily livesEdge highlightingExperimental environmentImage dataNaked-eyeQuality modelingReflectance transformation imagingTransform imagingReflectionConference Object10.1109/SIU55565.2022.98647832-s2.0-85138686168