{"doi":"10.1109/icinfa.2015.7279256","title":"NETLines: Recovering line-networks via gradient-based line segments refinement","abstract":null,"journal":"2015 IEEE International Conference on Information and Automation","year":2015,"id":640474,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1047403,"name":"Jian Yao","orcid":"0000-0001-6184-7879","position":1,"is_corresponding":false},{"id":1487949,"name":"Kai Li","orcid":"0000-0002-9531-5560","position":2,"is_corresponding":false},{"id":697735,"name":"Li Li","orcid":"0000-0001-6598-6358","position":3,"is_corresponding":false},{"id":1664554,"name":"Kao Zhang","orcid":null,"position":4,"is_corresponding":false},{"id":1664555,"name":"Jinge Tu","orcid":null,"position":5,"is_corresponding":false},{"id":1664553,"name":"Xiaohu Lu","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"NETLines: Recovering line-networks via gradient-based line segments refinement","abstract":"In this paper, we propose a novel line segment detector, named as NETLines, which can produce a set of accurate line segments and a set of node-connected line-networks formed by connection of the line segments and the image boundary. Based on the line segments generated by other line segment detectors (e.g., EDLines [1]) on an edge map, the proposed algorithm efficiently makes use of the gradient map of the original image instead of its edge map to extend and refine the line segments. The line-networks are constructed with the extended and refined line segments and a set of nodes generated by connecting of the line segments. Furthermore, the line segments and line-networks are optimally supplemented and refined by linking and merging the line segments. Experimental results on a set of natural images illustrate the proposed NETLines produces more accurate and complete line segments compared with state-of-the-art line segments detectors.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W1623138178","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.05098489,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":null,"oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/7267673/7279248/07279256.pdf?arnumber=7279256","host_type":"publisher"},{"url":"https://doi.org/10.1109/icinfa.2015.7279256","host_type":""}],"fields_of_study":["Image and Object Detection Techniques","Advanced Vision and Imaging","Medical Image Segmentation Techniques"],"mesh_terms":[],"keywords":["Line segment","Line (geometry)","Computer science","Set (abstract data type)","Enhanced Data Rates for GSM Evolution","Boundary (topology)","Algorithm","Image segmentation","Artificial intelligence","Node (physics)","Image (mathematics)","Computer vision","Topology (electrical circuits)","Pattern recognition (psychology)","Mathematics","Combinatorics","Geometry","Physics"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Sustainable cities and communities"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-07T12:06:47.702933Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}