{"_buckets": {"deposit": "35068754-8b0e-4566-8d58-6d53c09b3fe0"}, "_deposit": {"created_by": 92, "id": "7707", "owner": "92", "owners": [92], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "7707"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00007707", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Myanmar Rice Grain Classification Using Image Processing Techniques", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "\"The classification of various varieties of rice grains is made by using image processing\ntechniques and algorithms. Five types of rice grains in Myanmar such as Paw\nSan Hmwe, Lone Thwe Hmwe, Ayeyarmin, Kauk-Nyinn-Thwe and\nKauk-Nyinn-Pu are considered for present study in classifying the rice seeds and\nquality. Firstly, each grain image is preprocessed to enhance the grain image and\nthen segmented by using the edge detection methods such as threshold method.\nFive morphological features are extracted from each grain image. This system\nemphasizes on the development a computer vision-based system that is combined with proper heuristic algorithms for automatic classification of Myanmar’s\nrice grain samples.\""}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Image Processing"}, {"interim": "Enhancement"}, {"interim": "Segmentation"}, {"interim": "Classification"}, {"interim": "Rice grain"}, {"interim": "Myanmar"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2021-01-21"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Myanmar Rice Grain Classification by using Image Processing.pdf", "filesize": [{"value": "191 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 191000.0, "url": {"url": "https://meral.edu.mm/record/7707/files/Myanmar Rice Grain Classification by using Image Processing.pdf"}, "version_id": "fdadaa3e-c3ba-461d-9bab-6a4043fc4648"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICBDL 2018", "subitem_c_date": "14-15-May-2018", "subitem_conference_title": "First International Conference on Big Data Analysis and Deep Learning (ICBDL 2018)/ Springer Journal", "subitem_part": "pg-41", "subitem_place": "Japan", "subitem_session": "Image and Multimedia Processing I", "subitem_website": "(https://link.springer.com/chapter/10.1007/978-981-13-0869-7_36)"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Mie Mie Tin"}, {"subitem_authors_fullname": "Khin Lay Mon"}, {"subitem_authors_fullname": "Ei Phyu Win"}, {"subitem_authors_fullname": "Su Su Hlaing"}]}]}, "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": "2018-05-15"}, "item_title": "Myanmar Rice Grain Classification Using Image Processing Techniques", "item_type_id": "21", "owner": "92", "path": ["1582963674932", "1597397014014"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000007707", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2021-01-21"}, "publish_date": "2021-01-21", "publish_status": "0", "recid": "7707", "relation": {}, "relation_version_is_last": true, "title": ["Myanmar Rice Grain Classification Using Image Processing Techniques"], "weko_shared_id": -1}