Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13117
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dc.contributor.authorChoorat P.
dc.contributor.authorThepsathit B.
dc.contributor.authorKaosaiyananda V.
dc.contributor.authorCharoensuk A.
dc.contributor.authorKlimanee C.
dc.contributor.authorMoungkhaodaeng A.
dc.date.accessioned2021-04-05T03:22:21Z-
dc.date.available2021-04-05T03:22:21Z-
dc.date.issued2017
dc.identifier.other2-s2.0-85017517092
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/13117-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85017517092&doi=10.1109%2fKST.2017.7886114&partnerID=40&md5=dc0911b73dab739b042ec59eb407c35b
dc.description.abstractThe automatic parking system using an integral intensity projection is important in order to reduce the time spend for finding an available parking space. We applied the intensity projection and peak detection approaches to find the number and location of the parking space from a parking lot image. The parking lot image is firstly applied the integral projection in order to sum and smooth intensity projection of this image in a horizontal direction. After that the image is segmented into the region of interest (ROI) image by using the location object's edges derived from a derivative method. Then the integral intensity projection is again utilized the maximum points in vertical direction of the image intensity summation. Finally, the number of parking spots were counted by using peak detection approach. In the experimental results, the accuracy for counting the number of cars in the parking lot image is 53.03%. © 2017 IEEE.
dc.subjectGarages (parking)
dc.subjectImage segmentation
dc.subjectInformation dissemination
dc.subjectAutomatic parking systems
dc.subjectDerivative method
dc.subjectFirst order derivatives
dc.subjectIntegral projections
dc.subjectIntensity projection
dc.subjectPeak detection
dc.subjectThe region of interest (ROI)
dc.subjectVertical direction
dc.subjectParking
dc.titleApplied integral intensity projection to find the numbers of the parking spots
dc.typeConference Paper
dc.rights.holderScopus
dc.identifier.bibliograpycitation2017 9th International Conference on Knowledge and Smart Technology: Crunching Information of Everything, KST 2017. (2017), p.328-331
dc.identifier.doi10.1109/KST.2017.7886114
Appears in Collections:Scopus 1983-2021

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