{"_buckets": {"deposit": "6b3f1efe-53d3-4f06-a522-604af1acb868"}, "_deposit": {"created_by": 45, "id": "6278", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "6278"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/6278", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Lane Detection System based on Hough Transform with Retinex Algorithm", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Nowadays, automotive system becomes a great innovation in the world and lane detection system is important to control automobile vehicles. This paper has developed an efficient lane detection system to deal with different types of lighting conditions. Six types of edge detection techniques: canny, sobel, prewitt, Roberts, Laplacian of Gaussian (LOG) and zero-cross methods are analyzed. Line detection based on canny operator is developed. Moreover, Retinex algorithm is employed to normalize input images for all types of illumination. And Hough Transform with Retinex algorithm is developed to solve lighting problem. The proposed method is compared to Hough Transform with Otsu’s threshold method. The experimental results show that the proposed method can reduce computation time and improve accuracy for lane detection system."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Automotive System"}, {"interim": "Lane Detection"}, {"interim": "Hough Transform"}, {"interim": "Retinex"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-11-19"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Lane Detection System based on Hough Transform with Retinex Algorithm.pdf", "filesize": [{"value": "1.5 Mb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensefree": "© 2017 ICAIT", "licensetype": "license_free", "mimetype": "application/pdf", "size": 1500000.0, "url": {"url": "https://meral.edu.mm/record/6278/files/Lane Detection System based on Hough Transform with Retinex Algorithm.pdf"}, "version_id": "6ae76a9f-b9a7-4d59-b2da-26e7e1bda812"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICAIT-2017", "subitem_c_date": "1-2 November, 2017", "subitem_conference_title": "1st International Conference on Advanced Information Technologies", "subitem_place": "Yangon, Myanmar", "subitem_session": "Image and Signal Processing", "subitem_website": "https://www.uit.edu.mm/icait-2017/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Shwe Yee Win"}, {"subitem_authors_fullname": "Htar Htar Lwin"}]}]}, "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": "2017-11-02"}, "item_title": "Lane Detection System based on Hough Transform with Retinex Algorithm", "item_type_id": "21", "owner": "45", "path": ["1605779935331"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006278", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-11-19"}, "publish_date": "2020-11-19", "publish_status": "0", "recid": "6278", "relation": {}, "relation_version_is_last": true, "title": ["Lane Detection System based on Hough Transform with Retinex Algorithm"], "weko_shared_id": -1}