{"created":"2020-11-20T04:05:49.344670+00:00","id":6325,"links":{},"metadata":{"_buckets":{"deposit":"7188f0be-1f1f-4271-8d74-45bd5346094c"},"_deposit":{"created_by":45,"id":"6325","owner":"45","owners":[45],"owners_ext":{"displayname":"","email":"dimennyaung@uit.edu.mm","username":""},"pid":{"revision_id":0,"type":"recid","value":"6325"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/6325","sets":["1582963342780:1605779935331"]},"communities":["uit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Adaptive Morphological Operation for High-Performance Weather Image Processing","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Morphological operations have been an integral part of\nenhancement of digital imaging programs, especially for\nfiltering noise for improving the quality of image by\nutilizing the two most basic morphological operations,\nnamed as erosion and dilation, altogether. The main role\nof dilation is to fill the defined region in an image with\npixels, while erosion removes pixels from the region. As\nwe know, the method of erosion followed by dilation or\ndilation followed by erosion is indeed an attractive\napproach amongst researchers to deal with filtering noise\nproblems. However, this approach needs more\ncomputation time and has a high percentage of losing\nessential pixel area. To cover these issues, this paper\nintroduces a new approach called adaptive\nmorphological operation to boost the performance of\nimage enhancement. Based on 2011, 2013, 2015, and\n2016 weather image datasets collected from WITH radar,\nwhich is installed on the rooftop of Information\nEngineering building, University of the Ryukyus, the\nexperimental results confirm that the proposed approach\nis more efficient than the conventional approach."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Adaptive Morphological Operation"},{"interim":"Dilation"},{"interim":"Erosion"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2020-11-20"}],"displaytype":"preview","filename":"Adaptive Morphological Operation for High-Performance Weather Image Processing.pdf","filesize":[{"value":"1.4 Mb"}],"format":"application/pdf","license_note":"© 2018 ICAIT","licensetype":"license_note","url":{"url":"https://meral.edu.mm/record/6325/files/Adaptive Morphological Operation for High-Performance Weather Image Processing.pdf"},"version_id":"90a5b80d-eff5-4a5a-92b9-60e79c4a6e8b"}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"ICAIT-2018","subitem_c_date":"1-2 November, 2018","subitem_conference_title":"2nd International Conference on Advanced Information Technologies","subitem_place":"Yangon, Myanmar","subitem_session":"Image Processing","subitem_website":"https://www.uit.edu.mm/icait-2018/"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Swe Swe Aung"},{"subitem_authors_fullname":"Itaru Nagayama"},{"subitem_authors_fullname":"Shiro Tamaki"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Conference paper"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2018-11-02"},"item_title":"Adaptive Morphological Operation for High-Performance Weather Image Processing","item_type_id":"21","owner":"45","path":["1605779935331"],"publish_date":"2020-11-20","publish_status":"0","recid":"6325","relation_version_is_last":true,"title":["Adaptive Morphological Operation for High-Performance Weather Image Processing"],"weko_creator_id":"45","weko_shared_id":-1},"updated":"2022-03-24T23:17:08.833355+00:00"}