{"id":"https://openalex.org/W2396959872","doi":"https://doi.org/10.1109/cimca.2005.1631282","title":"Colour Image Comparison Using Vector Operators","display_name":"Colour Image Comparison Using Vector Operators","publication_year":2006,"publication_date":"2006-05-25","ids":{"openalex":"https://openalex.org/W2396959872","doi":"https://doi.org/10.1109/cimca.2005.1631282","mag":"2396959872"},"language":"en","primary_location":{"id":"doi:10.1109/cimca.2005.1631282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","raw_type":"proceedings-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/A5003602486","display_name":"Dietrich Van der Weken","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"D. Van der Weken","raw_affiliation_strings":["Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109237934","display_name":"V. De Witte","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"V. De Witte","raw_affiliation_strings":["Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088439253","display_name":"Mike Nachtegael","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"M. Nachtegael","raw_affiliation_strings":["Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102004691","display_name":"Stefan Schulte","orcid":"https://orcid.org/0000-0002-0143-7170"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"S. Schulte","raw_affiliation_strings":["Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072347317","display_name":"Etienne E. Kerre","orcid":"https://orcid.org/0000-0003-4530-6487"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"E. Kerre","raw_affiliation_strings":["Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium"],"affiliations":[{"raw_affiliation_string":"Fuzziness & Uncertainty Modelling, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003602486"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.6229,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73066031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"295","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9847999811172485,"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":0.9847999811172485,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9399999976158142,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.8187532424926758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7382747530937195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6886399984359741},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6543211936950684},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6397457122802734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5647439360618591},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.5460822582244873},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5035435557365417},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.46769285202026367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4669317603111267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4607466459274292},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4508707523345947},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.43755054473876953},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.32398054003715515},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2928659915924072}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.8187532424926758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7382747530937195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6886399984359741},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6543211936950684},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6397457122802734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5647439360618591},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.5460822582244873},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5035435557365417},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.46769285202026367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4669317603111267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4607466459274292},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4508707523345947},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.43755054473876953},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.32398054003715515},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2928659915924072}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cimca.2005.1631282","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cimca.2005.1631282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1965806776","https://openalex.org/W1988821884","https://openalex.org/W1997387423","https://openalex.org/W2023671427","https://openalex.org/W2036575711","https://openalex.org/W2041798388","https://openalex.org/W2588069742","https://openalex.org/W4246557992"],"related_works":["https://openalex.org/W2584984915","https://openalex.org/W1977788373","https://openalex.org/W2029591773","https://openalex.org/W2404548701","https://openalex.org/W2371889927","https://openalex.org/W2589042415","https://openalex.org/W3032257599","https://openalex.org/W1981206111","https://openalex.org/W3181441048","https://openalex.org/W2353833128"],"abstract_inverted_index":{"We":[0,74],"constructed":[1],"several":[2],"new":[3],"fuzzy":[4],"similarity":[5,43,55,64],"measures":[6,14,44,56,65],"for":[7,45,57],"greyscale":[8,58],"images":[9,59,68],"that":[10],"outperform":[11],"the":[12,29,40,46,54,63,81],"classical":[13],"of":[15,31,42,48,52],"comparison,":[16],"like":[17],"root":[18],"mean":[19],"square":[20],"error":[21],"or":[22],"peak":[23],"signal":[24],"to":[25,66,77],"noise":[26],"ratio,":[27],"in":[28,80],"sense":[30],"image":[32],"quality":[33],"evaluation.":[34],"In":[35],"this":[36],"paper":[37],"we":[38,61],"investigate":[39],"usefulness":[41],"comparison":[47],"colour":[49,67,83],"images.":[50],"Instead":[51],"applying":[53,70],"component-wise,":[60],"extend":[62],"by":[69],"vector":[71],"morphological":[72],"operators.":[73],"restrict":[75],"ourselves":[76],"an":[78],"investigation":[79],"RGB":[82],"space":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
