{"_buckets": {"deposit": "c8c4b18b-acfa-47ad-bc0a-9e32b88013a3"}, "_deposit": {"created_by": 92, "id": "7464", "owner": "92", "owners": [92], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7464"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007464", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Edge embedded Marker based Watershed Method for image segmentation", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Image segmentation has been a significant and difficult task digital image processing. Conflict between generality and objectivity becomes an\nimportant issue in image segmentation. Segmentation accuracy determines the success or failure of computerized analysis procedure. Therefore, we\npropose an automatic segmentation method that is useful for computer vision. The Proposed system are combined the modified Laplacian of Gaussian (LoG) edge detection filter which is used to produce accurate gradient magnitude and Marker Controlled Watershed Transformation. In this paper, firstly, watershed algorithm with Laplacian of Gaussian (LoG) edge detector is used to detect the clear edge map of the input image and produce the image which is less sensitive to noise. Marker-controlled watershed segmentation provides to get the beter segmented image with less over segmentation. Therefore, our proposed method can detect a detailed, accurate and satisfactory segmentation image without any broken edges while overcoming over segmentation problem due to conventional watershed segmentation."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Image Segmentation"}, {"interim": "Marker Controlled Watershed"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "GIGAKU.pdf", "filesize": [{"value": "862 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 862000.0, "url": {"url": "https://meral.edu.mm/record/7464/files/GIGAKU.pdf"}, "version_id": "71a9cd1b-ddf9-4682-96cd-ac9d435bd696"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "1st International Conference on Energy, Environment and Human Engineering (ICEEHE 22,2,3-Dec-2013), in Transactions on GIGAKU", "subitem_journal_title": "Transactions on GIGAKU (Journal)", "subitem_pages": "s01016/1-6", "subitem_volume": "Vol-2. No.2"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Khin Lay Mon"}, {"subitem_authors_fullname": "Mie Mie Thaw"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2014-10-15"}, "item_title": "Edge embedded Marker based Watershed Method for image segmentation", "item_type_id": "21", "owner": "92", "path": ["1582963674932", "1597397014014"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007464", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-14"}, "publish_date": "2021-01-14", "publish_status": "0", "recid": "7464", "relation": {}, "relation_version_is_last": true, "title": ["Edge embedded Marker based Watershed Method for image segmentation"], "weko_shared_id": -1}