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A simple edges extraction method from complex digital images (EEMI)

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dc.contributor.authorAl-Ghaili A.M.en_US
dc.contributor.authorKasim H.en_US
dc.contributor.authorOthman M.en_US
dc.contributor.authorHassan Z.en_US
dc.contributor.authorid26664381500en_US
dc.contributor.authorid57203863798en_US
dc.contributor.authorid24824928800en_US
dc.contributor.authorid13607947600en_US
dc.date.accessioned2023-05-29T07:30:23Z
dc.date.available2023-05-29T07:30:23Z
dc.date.issued2019
dc.description.abstractThis paper proposes a simple Edges Extraction Method from complex digital Images (EEMI). The proposed EEMI uses a simple image processing technique to detect edges of objects and regions inside complex scenarios of images. It highlights objects� edges by increasing their contrast levels and pixels� intensities using special masks. EEMI mainly uses two simple masks one of which is used to detect vertical edges while the other one detects horizontal edges. Results have revealed that EEMI is a robust edge detector with inclined and complex background images. EEMI has been found simple and has simple complexity that helps reduce the computational time existent with other competitive methods. Results have confirmed that EEMI�s computation time could efficiently meet real-time requirements. EEMI has been compared to other competitive operators in terms of accuracy and computation time. � Springer Nature Singapore Pte Ltd. 2019.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-13-6031-2_16
dc.identifier.epage224
dc.identifier.scopus2-s2.0-85066137689
dc.identifier.spage215
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85066137689&doi=10.1007%2f978-981-13-6031-2_16&partnerID=40&md5=f2c3f3fec52a825390b0c72ba02ca516
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25014
dc.identifier.volume67
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Networks and Systems
dc.titleA simple edges extraction method from complex digital images (EEMI)en_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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