{"_buckets": {"deposit": "c35af557-c287-4bac-8d2f-76843fc7bd0d"}, "_deposit": {"id": "4417", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4417"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4417", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "A fundamental problem in image processing isimage segmentation. The conventional imagesegmentation methods, to some extent, all suffer fromthe problem of inaccurate segmentation. A slightlyeasier and more approachable problem, interactivesegmentation, has also received a lot of attentions overthe years. In this paper, we propose a fast and simpleinteractive image segmentation technique. Thissegmentation process is conducted in two modules.First, the original image is detected by canny edgedetection method. Second, the object ofinterest issegmented by using the region merging based onmaximal similarity. In this work, color feature is usedto measure the closeness between two regions andaccordingly the label of the unmarked region isdecided. The proposed method extracts the object fromthe complex background in the image. Theeffectiveness of the proposed method is validated byexperimental results and compared with other method."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Interactive Image Segmentation"}, {"interim": "Edge Detection"}, {"interim": "RGB color histogram"}, {"interim": "Region Merging"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-10-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging.pdf", "filesize": [{"value": "765 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 765000.0, "url": {"url": "https://meral.edu.mm/record/4417/files/Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging.pdf"}, "version_id": "20dc8ad1-4a7b-40c6-8e2b-9041b397784b"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Thirteenth International Conference On Computer Applications (ICCA 2015)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Win, May Thu"}, {"subitem_authors_fullname": "Win, Kay Thi"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015-02-05"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2351"}, "item_title": "Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004417", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-10-25"}, "publish_date": "2019-10-25", "publish_status": "0", "recid": "4417", "relation": {}, "relation_version_is_last": true, "title": ["Natural Scene Interactive Segmentation Using Edge Detection and Maximal Similarity Region Merging"], "weko_shared_id": -1}