{"id":"https://openalex.org/W2003667229","doi":"https://doi.org/10.1117/1.2176674","title":"Fractal-based edge extraction and its application to textured image retrieval","display_name":"Fractal-based edge extraction and its application to textured image retrieval","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2003667229","doi":"https://doi.org/10.1117/1.2176674","mag":"2003667229"},"language":"en","primary_location":{"id":"doi:10.1117/1.2176674","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2176674","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103121444","display_name":"Ming Hong Pi","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"M. Pi","raw_affiliation_strings":["Hong Kong Baptist University,Department of Mathematics, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University,Department of Mathematics, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103121444"],"corresponding_institution_ids":["https://openalex.org/I141568987"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09706862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"15","issue":"1","first_page":"013012","last_page":"013012"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9591000080108643,"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/T10588","display_name":"Mathematical Dynamics and Fractals","score":0.9474999904632568,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.6923487186431885},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6304705142974854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.595544695854187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829840302467346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5641815066337585},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5148152709007263},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.42857715487480164},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.4274296164512634},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39342281222343445},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3567783832550049},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3560516834259033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3325440585613251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28766071796417236}],"concepts":[{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.6923487186431885},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6304705142974854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.595544695854187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829840302467346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5641815066337585},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5148152709007263},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.42857715487480164},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.4274296164512634},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39342281222343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3567783832550049},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3560516834259033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3325440585613251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28766071796417236},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.2176674","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2176674","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307759","display_name":"General Electric","ror":"https://ror.org/013msgt25"},{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"},{"id":"https://openalex.org/F4320320955","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131"},{"id":"https://openalex.org/F4320321883","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53"},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1490366898","https://openalex.org/W1968590503","https://openalex.org/W1968941935","https://openalex.org/W1988324357","https://openalex.org/W2009877213","https://openalex.org/W2011074818","https://openalex.org/W2041355974","https://openalex.org/W2044795131","https://openalex.org/W2059186503","https://openalex.org/W2062024414","https://openalex.org/W2063079062","https://openalex.org/W2076568363","https://openalex.org/W2101354698","https://openalex.org/W2107693148","https://openalex.org/W2115465074","https://openalex.org/W2125148312","https://openalex.org/W2130660124","https://openalex.org/W2132984323","https://openalex.org/W2134929491","https://openalex.org/W2138635487","https://openalex.org/W2158270878","https://openalex.org/W2159047013","https://openalex.org/W2159790397","https://openalex.org/W2162590827","https://openalex.org/W2163534628","https://openalex.org/W2167538433","https://openalex.org/W2168977926","https://openalex.org/W2171282760","https://openalex.org/W2914885528","https://openalex.org/W4245924479","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W2960611766","https://openalex.org/W2106653363","https://openalex.org/W2416959398","https://openalex.org/W1595732891","https://openalex.org/W2272518945","https://openalex.org/W1561599630","https://openalex.org/W2543421750","https://openalex.org/W1987618107","https://openalex.org/W2761229199","https://openalex.org/W2900811989"],"abstract_inverted_index":{"We":[0],"discuss":[1],"how":[2],"an":[3],"orthogonalized":[4],"fractal":[5,14,109,121],"decoding":[6],"algorithm":[7],"can":[8,40,62,73],"be":[9,41,63,74],"used":[10],"to":[11,119,132],"derive":[12],"a":[13,21,24,50,67,141],"decomposition":[15],"of":[16,26,58,83,127,135,143],"the":[17,31,35,53,56,84,125,133,136,144],"encoded":[18],"image":[19,94],"into":[20],"dc":[22,38,110],"and":[23,55,96,111],"set":[25],"ac":[27,47,60,85,112],"components":[28,48,86],"that":[29,100],"characterize":[30],"edge":[32],"information":[33],"in":[34,89],"image.":[36],"The":[37,46],"component":[39,61],"characterized":[42,76],"by":[43,66,77],"its":[44],"histogram.":[45],"provide":[49],"model":[51],"for":[52,92],"texture,":[54],"distribution":[57],"each":[59],"well":[64],"represented":[65],"generalized":[68],"Gaussian":[69],"density":[70],"(GGD),":[71],"which":[72],"efficiently":[75],"two":[78],"GGD":[79],"parameters.":[80],"Such":[81],"characterization":[82],"is":[87,130],"exploited":[88],"this":[90],"work":[91],"texture":[93],"retrieval,":[95],"experimental":[97],"results":[98],"show":[99],"our":[101,107,128],"proposed":[102],"indexing":[103,122],"technique":[104],"based":[105],"on":[106],"novel":[108],"signature":[113],"provides":[114],"superior":[115],"retrieval":[116,145],"performance":[117,126],"compared":[118],"current":[120],"techniques.":[123],"Moreover,":[124],"approach":[129],"comparable":[131],"state":[134],"art":[137],"wavelet-based":[138],"method":[139],"at":[140],"fraction":[142],"time.":[146]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
