{"created":"2021-01-14T08:11:56.123764+00:00","id":7463,"links":{},"metadata":{"_buckets":{"deposit":"c7589f9b-1fbd-44a5-b03f-a71414e4a46a"},"_deposit":{"created_by":92,"id":"7463","owner":"92","owners":[92],"owners_ext":{"displayname":"","email":"khin_sandar_chit@miit.edu.mm","username":""},"pid":{"revision_id":0,"type":"depid","value":"7463"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00007463","sets":["1582963674932","1582963674932:1597397014014"]},"communities":["miit"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Automatic Image Segmentation Using Gradient based Morphological Watershed Transformation","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Image segmentation has been an essential step in digital image processing for most subsequent image analysis and image understanding activities. Many conventional segmentation methods require a considerable amount of interactive guidance in order to attain satisfactory results. Therefore, in this paper, fully automatic image segmentation which is usually a difficult segmentation task for natural images is proposed. This system is based on mathematical morphology to control over segmentation problem of watershed segmentation. Therefore, in this system, the modified 9x9LoG filter\nis applied to produce a better approximation of gradient magnitudes and then the improved watershed algorithm based on the marker is performed. This system requires simpler parameters and lower computation than other traditional watershed methods. The system can efficiently reduce over segmentation of watershed algorithm and get the meaningful segmented image that are useful for image annotation, objects detection in an image and image retrieval systems."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Laplacian of Gaussian filter"},{"interim":"Morphological Gradient"},{"interim":"Watershed algorithm"},{"interim":"Marker-controlled watershed Transformation"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-01-14"}],"displaytype":"preview","filename":"ASEAN Community Knowledge Networks for the Economy, Society, Culture, and Environmental Stabality.pdf","filesize":[{"value":"661 KB"}],"format":"application/pdf","licensetype":"license_0","url":{"url":"https://meral.edu.mm/record/7463/files/ASEAN Community Knowledge Networks for the Economy, Society, Culture, and Environmental Stabality.pdf"},"version_id":"9b44709e-dd95-47f2-9b58-c2068ae6ad4b"}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"AICT","subitem_c_date":"May, 2014","subitem_conference_title":"ASEAN Community Knowledge Networks for the Economy, Society, Culture, and Environmental Stabality","subitem_place":"Mandalay","subitem_session":"Techno-Scientific Progress, Climate Change and the Energy Transition for Development"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Khin Lay Mon"}]}]},"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":"2015-03-15"},"item_title":"Automatic Image Segmentation Using Gradient based Morphological Watershed Transformation","item_type_id":"21","owner":"92","path":["1582963674932","1597397014014"],"publish_date":"2021-01-14","publish_status":"0","recid":"7463","relation_version_is_last":true,"title":["Automatic Image Segmentation Using Gradient based Morphological Watershed Transformation"],"weko_creator_id":"92","weko_shared_id":-1},"updated":"2022-03-24T23:16:38.766138+00:00"}