Get quick answers to your questions about the article from our AI researcher chatbot
{'id': 'https://openalex.org/W2090968345', 'doi': 'https://doi.org/10.1190/1.1817639', 'title': 'Fault detection using Hough transforms', 'display_name': 'Fault detection using Hough transforms', 'publication_year': 2003, 'publication_date': '2003-01-01', 'ids': {'openalex': 'https://openalex.org/W2090968345', 'doi': 'https://doi.org/10.1190/1.1817639', 'mag': '2090968345'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1190/1.1817639', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5056965768', 'display_name': 'Nasher M. AlBinHassan', 'orcid': 'https://orcid.org/0000-0003-3245-654X'}, 'institutions': [{'id': 'https://openalex.org/I44461941', 'display_name': 'University of Houston', 'ror': 'https://ror.org/048sx0r50', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I44461941']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Nasher M. AlBinHassan', 'raw_affiliation_strings': ['[Univ. of Houston]'], 'affiliations': [{'raw_affiliation_string': '[Univ. of Houston]', 'institution_ids': ['https://openalex.org/I44461941']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5019631344', 'display_name': 'Kurt J. Marfurt', 'orcid': 'https://orcid.org/0000-0002-7643-6092'}, 'institutions': [{'id': 'https://openalex.org/I44461941', 'display_name': 'University of Houston', 'ror': 'https://ror.org/048sx0r50', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I44461941']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Kurt Marfurt', 'raw_affiliation_strings': ['[Univ. of Houston]'], 'affiliations': [{'raw_affiliation_string': '[Univ. of Houston]', 'institution_ids': ['https://openalex.org/I44461941']}]}], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.701, 'has_fulltext': True, 'fulltext_origin': 'ngrams', 'cited_by_count': 48, 'citation_normalized_percentile': {'value': 0.879836, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 92, 'max': 93}, 'biblio': {'volume': None, 'issue': None, 'first_page': None, 'last_page': None}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T12549', 'display_name': 'Robust Line and Curve Detection using Hough Transform', 'score': 0.9987, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T12549', 'display_name': 'Robust Line and Curve Detection using Hough Transform', 'score': 0.9987, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10052', 'display_name': 'Image Segmentation Techniques', 'score': 0.9591, 'subfield': {'id': 'https://openalex.org/subfields/1707', 'display_name': 'Computer Vision and Pattern Recognition'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T11438', 'display_name': 'Detection and Management of Retinal Diseases', 'score': 0.9352, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/line-detection', 'display_name': 'Line Detection', 'score': 0.560567}, {'id': 'https://openalex.org/keywords/edge-detection', 'display_name': 'Edge Detection', 'score': 0.552427}, {'id': 'https://openalex.org/keywords/real-time-detection', 'display_name': 'Real-Time Detection', 'score': 0.531158}, {'id': 'https://openalex.org/keywords/texture-analysis', 'display_name': 'Texture Analysis', 'score': 0.527158}, {'id': 'https://openalex.org/keywords/hough-transform', 'display_name': 'Hough Transform', 'score': 0.525819}], 'concepts': [{'id': 'https://openalex.org/C200518788', 'wikidata': 'https://www.wikidata.org/wiki/Q195076', 'display_name': 'Hough transform', 'level': 3, 'score': 0.78366816}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.5806781}, {'id': 'https://openalex.org/C175551986', 'wikidata': 'https://www.wikidata.org/wiki/Q47089', 'display_name': 'Fault (geology)', 'level': 2, 'score': 0.53591824}, {'id': 'https://openalex.org/C127313418', 'wikidata': 'https://www.wikidata.org/wiki/Q1069', 'display_name': 'Geology', 'level': 0, 'score': 0.4904034}, {'id': 'https://openalex.org/C152745839', 'wikidata': 'https://www.wikidata.org/wiki/Q5438153', 'display_name': 'Fault detection and isolation', 'level': 3, 'score': 0.45671147}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.45006174}, {'id': 'https://openalex.org/C31972630', 'wikidata': 'https://www.wikidata.org/wiki/Q844240', 'display_name': 'Computer vision', 'level': 1, 'score': 0.4164573}, {'id': 'https://openalex.org/C153180895', 'wikidata': 'https://www.wikidata.org/wiki/Q7148389', 'display_name': 'Pattern recognition (psychology)', 'level': 2, 'score': 0.39493114}, {'id': 'https://openalex.org/C165205528', 'wikidata': 'https://www.wikidata.org/wiki/Q83371', 'display_name': 'Seismology', 'level': 1, 'score': 0.22042337}, {'id': 'https://openalex.org/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, 'score': 0.20559373}, {'id': 'https://openalex.org/C172707124', 'wikidata': 'https://www.wikidata.org/wiki/Q423488', 'display_name': 'Actuator', 'level': 2, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1190/1.1817639', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W2959220123', 'https://openalex.org/W2945899487', 'https://openalex.org/W2596524021', 'https://openalex.org/W2374020915', 'https://openalex.org/W2340004334', 'https://openalex.org/W2304191769', 'https://openalex.org/W2254998421', 'https://openalex.org/W2125820860', 'https://openalex.org/W2091533880', 'https://openalex.org/W2021219811'], 'abstract_inverted_index': {'PreviousNext': [0], 'No': [1], 'AccessSEG': [2], 'Technical': [3, 599, 643], 'Program': [4, 600, 644], 'Expanded': [5, 601, 645], 'Abstracts': [6, 602, 646], '2003Fault': [7], 'detection': [8, 42, 111, 215, 370, 467, 479, 638], 'using': [9, 46, 130, 176, 371, 436, 469, 483, 639], 'Hough': [10, 357, 471, 640], 'transformsAuthors:': [11], 'Nasher': [12, 630], 'M.': [13, 16, 631], 'AlBinHassanKurt': [14], 'MarfurtNasher': [15], 'AlBinHassanAllied': [17], 'Geophysical': [18, 26, 246], 'Laboratories,': [19, 27], 'University': [20, 28], 'of': [21, 29, 55, 164, 179, 253, 392, 440, 531, 617, 620], 'Houston': [22], 'and': [23, 74, 106, 117, 128, 142, 171, 191, 202, 225, 269, 281, 287, 309, 323, 332, 338, 359, 374, 384, 390, 403, 423, 451, 474, 497, 510, 526, 554, 561, 633], 'Kurt': [24, 270, 339, 404, 452, 634], 'MarfurtAllied': [25], 'Houstonhttps://doi.org/10.1190/1.1817639': [30], 'SectionsAboutPDF/ePub': [31], 'ToolsAdd': [32], 'to': [33, 329, 567, 588], 'favoritesDownload': [34], 'CitationsTrack': [35], 'CitationsPermissions': [36], 'ShareFacebookTwitterLinked': [37], 'InRedditEmail': [38], 'Permalink:': [39], 'https://doi.org/10.1190/1.1817639FiguresReferencesRelatedDetailsCited': [40], 'byFault': [41], 'in': [43, 86, 98, 154, 173, 351, 480, 546], 'seismic': [44, 213, 240, 254, 372, 460, 481, 490, 519, 548, 569], 'data': [45, 571], 'graph': [47], 'convolutional': [48], 'network18': [49], 'March': [50, 145, 159, 243, 564], '2023': [51], '|': [52, 79, 147, 161, 207, 230, 245, 274, 292, 343, 409, 428, 502, 579], 'The': [53, 293], 'Journal': [54, 163], 'Supercomputing,': [56], 'Vol.': [57, 81, 109, 149, 166, 209, 232, 248, 276, 296, 345, 366, 411, 430, 504, 581], '32Fault': [58], 'surface': [59, 466], 'extraction': [60], 'from': [61, 283], 'a': [62, 180, 437, 441, 535], 'global': [63], 'perspectiveCheng': [64], 'Zhou,': [65, 67], 'Ruoshui': [66], 'Xianglin': [68], 'Zhan,': [69], 'Hanpeng': [70], 'Cai,': [71], 'Xingmiao': [72], 'Yao,': [73], 'Guangmin': [75], 'Hu13': [76], 'July': [77, 93, 426], '2022': [78], 'GEOPHYSICS,': [80, 148, 275, 344, 580], '87,': [82], 'No.': [83, 151, 168, 211, 234, 250, 278, 298, 347, 368, 413, 432, 506, 583], '5Fault': [84, 169], 'Detection': [85, 170], 'Seismic': [87, 100, 174, 353], 'Data': [88, 354], 'Using': [89, 122, 355], 'Graph': [90, 123], 'Attention': [91], 'Network29': [92], '2022Efficient': [94], 'Fault': [95, 101, 120, 349], 'Surface': [96], 'Grouping': [97], '3-D': [99, 352], 'DataIEEE': [102], 'Transactions': [103, 362], 'on': [104, 114, 187, 239, 363, 489, 518], 'Geoscience': [105], 'Remote': [107], 'Sensing,': [108], '60Fault': [110], 'method': [112, 185], 'based': [113, 186, 238, 488, 517], 'residual': [115], 'network': [116], 'Faster': [118], 'R-CNNSeismic': [119], 'Analysis': [121], 'Signal': [124], 'RegularizationSemiautomatic': [125], 'fault-surface': [126], 'generation': [127], 'interpretation': [129, 237, 315, 487, 516], 'topological': [131], 'metricsYihuai': [132], 'Lou,': [133], 'Bo': [134], 'Zhang,': [135, 141, 492, 521], 'Pan': [136], 'Yong,': [137], 'Huijing': [138], 'Fang,': [139], 'Yijiang': [140], 'Danping': [143], 'Cao11': [144], '2021': [146, 160], '86,': [150], '3Seismic': [152], 'attributes': [153, 255, 373], 'reservoir': [155], 'characterization:': [156], 'an': [157], 'overview2': [158], 'Arabian': [162], 'Geosciences,': [165], '14,': [167], 'Optimization': [172], 'Dataset': [175], 'Multiscale': [177], 'Fusion': [178], 'Geometric': [181], 'AttributeAn': [182], 'enhanced': [183], 'fault-detection': [184], 'adaptive': [188], 'spectral': [189], 'decomposition': [190], 'super-resolution': [192], 'deep': [193], 'learningZhenyu': [194], 'Yuan,': [195], 'Handong': [196], 'Huang,': [197], 'Yuxin': [198], 'Jiang,': [199], 'Jinbiao': [200], 'Tang,': [201], 'Jingjing': [203], 'Li7': [204], 'August': [205, 228, 312, 326, 455, 477, 513, 529], '2019': [206, 229, 244], 'Interpretation,': [208, 231, 410, 429, 503], '7,': [210, 233], '3Improving': [212], 'fault': [214, 258, 304, 394, 434, 457, 465, 486, 515, 573], 'by': [216, 468], 'super-attribute-based': [217], 'classificationHaibin': [218], 'Di,': [219, 306, 320], 'Mohammod': [220], 'Amir': [221, 386], 'Shafiq,': [222, 308], 'Zhen': [223, 321], 'Wang,': [224, 322], 'Ghassan': [226, 310, 324, 382, 475], 'AlRegib7': [227], '3Semi‐automatic': [235], 'fault/fracture': [236], 'geometry': [241], 'analysis13': [242], 'Prospecting,': [247], '67,': [249], '5Image': [251], 'processing': [252, 585], 'for': [256, 302, 572, 592], 'automatic': [257], 'extractionJie': [259], 'Qi,': [260, 335], 'Bin': [261], 'Lyu,': [262], 'Abdulmohsen': [263, 397, 445], 'AlAli,': [264], 'Gabriel': [265, 336], 'Machado,': [266, 337, 396, 444], 'Ying': [267], 'Hu,': [268], 'Marfurt26': [271], 'November': [272], '2018': [273, 291], '84,': [277], '1Machine': [279], 'learning': [280, 282], 'machinesEhsan': [284], 'Zabihi': [285], 'Naeini': [286], 'Kenton': [288], 'Prindle4': [289], 'December': [290], 'Leading': [294], 'Edge,': [295], '37,': [297], '12Patch-level': [299], 'MLP': [300], 'classification': [301], 'improved': [303], 'detectionHaibin': [305], 'Muhammad': [307, 385], 'AlRegib27': [311, 325], '2018Real-time': [313], 'seismic-image': [314], 'via': [316, 462], 'deconvolutional': [317], 'neural': [318], 'networkHaibin': [319], '2018A': [327], 'workflow': [328], 'skeletonize': [330], 'faults': [331, 533, 545], 'stratigraphic': [333], 'featuresJie': [334], 'Marfurt7': [340], 'June': [341], '2017': [342], '82,': [346], '4Interactive': [348], 'Extraction': [350], 'the': [356], 'Transform': [358], 'Tracking': [360], 'VectorsIEEE': [361], 'Computational': [364], 'Imaging,': [365], '3,': [367, 431], '1Fault': [369], 'visual': [375], 'saliencyAbdulmajid': [376], 'Lawal,': [377], 'Suhail': [378], 'Al-Dharrab,': [379], 'Mohamed': [380], 'Deriche,': [381], 'Alregib,': [383], 'Shafiq1': [387], 'September': [388, 415], '2016Display': [389], 'enhancement': [391], 'volumetric': [393], 'imagesGabriel': [395], 'Alali,': [398, 446], 'Bryce': [399, 447], 'Hutchinson,': [400, 448], 'Oluwatobi': [401], 'Olorunsola,': [402], 'J.': [405, 453], 'Marfurt12': [406], 'February': [407], '2016': [408], '4,': [412], '1References26': [414], '2016Predictive': [416], 'coherenceParvaneh': [417], 'Karimi,': [418], 'Sergey': [419, 511], 'Fomel,': [420], 'Lesli': [421], 'Wood,': [422], 'Dallas': [424], 'Dunlap16': [425], '2015': [427], '4Improving': [433], 'images': [435], 'directional': [438], 'Laplacian': [439], 'Gaussian': [442], 'operatorGabriel': [443], 'Olorunsola': [449], 'Oluwatobi,': [450], 'Marfurt19': [454], '2015Automatic': [456], 'tracking': [458, 463], 'across': [459], 'volumes': [461, 591], 'vectorsAutomatic': [464], '3D': [470, 537, 547], 'transformZhen': [472], 'Wang*': [473], 'AlRegib5': [476], '2014Fault': [478], 'datasets': [482], 'hough': [484], 'transformSemiautomated': [485], 'attributesBo': [491, 520], 'Yuancheng': [493, 522], 'Liu,': [494, 523], 'Michael': [495, 527], 'Pelissier,': [496], 'Nanne': [498, 524], 'Hemstra31': [499], 'January': [500], '2014': [501], '2,': [505], '1Predictive': [507], 'coherencyParvaneh': [508], 'Karimi': [509], 'Fomel19': [512], '2013Semi-automated': [514], 'Hemstra,': [525], 'Pelissier19': [528], '2013Enhancement': [530], 'large': [532], 'with': [534], 'windowed': [536], 'Radon': [538], 'transform': [539], 'filterTrond': [540], 'Hellem': [541], 'Boe25': [542], 'October': [543, 557, 596], '2012Imaging': [544], 'volumesGeoffrey': [549], 'A.': [550], 'Dorn,': [551], 'Benjamin': [552], 'Kadlec,': [553], 'Patty': [555], 'Murtha25': [556], '20128.': [558], 'Structure-oriented': [559], 'Filtering': [560], 'Image': [562], 'Enhancement21': [563], '2012A': [565], 'filter': [566], 'improve': [568], 'discontinuity': [570], 'interpretationArthur': [574], 'E.': [575], 'Barnes26': [576], 'May': [577], '2006': [578, 597], '71,': [582], '3Image': [584], 'techniques': [586], 'applied': [587], '3‐D': [589], 'attribute': [590], 'lithology': [593], 'distributionRafael': [594], 'Sanguinetti6': [595], 'SEG': [598, 642], '2003ISSN': [603], '(print):1052-3812': [604], 'ISSN': [605], '(online):1949-4645Copyright:': [606], '2003': [607, 612, 615], 'Pages:': [608], '2452': [609], 'publication': [610], 'data©': [611], 'Copyright': [613], '©': [614], 'Society': [616], 'Exploration': [618, 621], 'GeophysicistsPublisher:Society': [619], 'Geophysicists': [622], 'HistoryPublished': [623], 'Online:': [624], '03': [625], 'Jan': [626], '2005': [627], 'CITATION': [628], 'INFORMATION': [629], 'AlBinHassan': [632], 'Marfurt,': [635], '(2003),': [636], '"Fault': [637], 'transforms,"': [641], ':': [647], '1719-1721.': [648], 'https://doi.org/10.1190/1.1817639': [649], 'Plain-Language': [650], 'Summary': [651], 'PDF': [652], 'DownloadLoading': [653], '...': [654]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W2090968345', 'counts_by_year': [{'year': 2023, 'cited_by_count': 4}, {'year': 2022, 'cited_by_count': 7}, {'year': 2021, 'cited_by_count': 4}, {'year': 2020, 'cited_by_count': 1}, {'year': 2019, 'cited_by_count': 6}, {'year': 2018, 'cited_by_count': 6}, {'year': 2017, 'cited_by_count': 2}, {'year': 2016, 'cited_by_count': 4}, {'year': 2015, 'cited_by_count': 2}, {'year': 2014, 'cited_by_count': 5}, {'year': 2013, 'cited_by_count': 1}, {'year': 2012, 'cited_by_count': 3}], 'updated_date': '2024-09-09T21:30:01.264809', 'created_date': '2016-06-24'}