Boundary detection of pigs in pens based on adaptive thresholding using an integral image and adaptive partitioning

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dc.contributor.authorBuayai, Prawit
dc.contributor.authorKantanukul, Tatpong
dc.contributor.authorLeung, Carson K.
dc.contributor.authorRunapongsa Saikaew, Kanda
dc.date.accessioned2018-01-29T16:54:54Z
dc.date.available2018-01-29T16:54:54Z
dc.date.issued2017-04
dc.descriptionP. Buayai, T. Kantanukul, C.K. Leung, and K. Runapongsa Saikaew. 2017. Boundary detection of pigs in pens based on adaptive thresholding using an integral image and adaptive partitioning. CMU Journal of Natural Sciences, 16(2): 145-155 (April-June 2017). This paper is published in CMU Journal of Natural Sciences, which is peer-reviewed and published as hardcopy and online open-access journal.en_US
dc.description.abstractBoundary detection of pigs is important to pig weight estimation, pig feeding behavior analysis, and thermal comfort control. This research proposes a boundary detection method for pigs in a feeder zone with a high-density pen under insufficient and varied lighting, a dirty pen scene, and small field of view. The method is based on adaptive thresholding using an integral image and adaptive partitioning. First, we segment an original grayscale image with adaptive thresholding using an integral image, and then apply adaptive partitioning with connected components. Afterwards, we utilize the maximum entropy threshold of each partition and merge the results. Our experimental results using 230 images showed that the proposed method led to a high average detection rate in a short execution time. Moreover, to the best of our knowledge, our study is the first attempt to investigate pig boundary detection in a practical farm environment, which involved dirty pen scenes with insufficient and varied lighting.en_US
dc.description.sponsorshipBetagro Public Company Limited; Khon Kaen University (KKU); KKU E-SAAN Center for Business and Economic Research (ECBER); KKU Faculty of Agricultureen_US
dc.identifier.citationP. Buayai, T. Kantanukul, C.K. Leung, and K. Runapongsa Saikaew. 2017. Boundary detection of pigs in pens based on adaptive thresholding using an integral image and adaptive partitioning. CMU Journal of Natural Sciences, 16(2): 145-155 (April-June 2017)en_US
dc.identifier.doihttp://dx.doi.org/10.12982/cmujns.2017.0012
dc.identifier.urihttp://hdl.handle.net/1993/32869
dc.language.isoengen_US
dc.publisherCMU Pressen_US
dc.rightsopen accessen_US
dc.subjectnatural sciencesen_US
dc.subjectcomputer scienceen_US
dc.subjectpig boundary detectionen_US
dc.subjectimage segmentationen_US
dc.subjectadaptive partitioningen_US
dc.subjectadaptive thresholdingen_US
dc.titleBoundary detection of pigs in pens based on adaptive thresholding using an integral image and adaptive partitioningen_US
dc.typeArticleen_US
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