{"id":"https://openalex.org/W38318237","doi":"https://doi.org/10.1007/1-4020-4179-9_151","title":"NEW METHODS FOR SEGMENTATION OF IMAGES CONSIDERING THE HUMAN VISION PRINCIPLES","display_name":"NEW METHODS FOR SEGMENTATION OF IMAGES CONSIDERING THE HUMAN VISION PRINCIPLES","publication_year":2006,"publication_date":"2006-03-10","ids":{"openalex":"https://openalex.org/W38318237","doi":"https://doi.org/10.1007/1-4020-4179-9_151","mag":"38318237"},"language":"en","primary_location":{"id":"doi:10.1007/1-4020-4179-9_151","is_oa":false,"landing_page_url":"https://doi.org/10.1007/1-4020-4179-9_151","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Imaging and Vision","raw_type":"book-chapter"},"type":"book-chapter","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/A5014212800","display_name":"Andreas Kuleschow","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Andreas Kuleschow","raw_affiliation_strings":["Fraunhofer Institut for Integrated Circuits, Am Wolfsmantel 33, Erlangen, 19058, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institut for Integrated Circuits, Am Wolfsmantel 33, Erlangen, 19058, Germany","institution_ids":["https://openalex.org/I4210124274"]}]},{"author_position":"last","author":{"id":null,"display_name":"Klaus Spinnler","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124274","display_name":"Fraunhofer Institute for Integrated Circuits","ror":"https://ror.org/024ape423","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210124274","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Spinnler","raw_affiliation_strings":["Fraunhofer Institut for Integrated Circuits, Am Wolfsmantel 33, Erlangen, 19058, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer Institut for Integrated Circuits, Am Wolfsmantel 33, Erlangen, 19058, Germany","institution_ids":["https://openalex.org/I4210124274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014212800"],"corresponding_institution_ids":["https://openalex.org/I4210124274"],"apc_list":null,"apc_paid":null,"fwci":3.5078,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.90801976,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1037","last_page":"1042"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9966999888420105,"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":"Medical Image Segmentation Techniques","score":0.9872000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.8822895288467407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.686970591545105},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6542165279388428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650970995426178},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6282637119293213},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5237800478935242},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.433353066444397},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41921183466911316},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.04738140106201172}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8822895288467407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.686970591545105},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6542165279388428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650970995426178},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6282637119293213},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5237800478935242},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.433353066444397},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41921183466911316},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.04738140106201172},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/1-4020-4179-9_151","is_oa":false,"landing_page_url":"https://doi.org/10.1007/1-4020-4179-9_151","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Imaging and Vision","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1966411054","https://openalex.org/W1972544340","https://openalex.org/W1984319591","https://openalex.org/W2021511865","https://openalex.org/W2067688310","https://openalex.org/W2133059825","https://openalex.org/W2155919504","https://openalex.org/W3100816363","https://openalex.org/W4252410133"],"related_works":["https://openalex.org/W2138983844","https://openalex.org/W1968965685","https://openalex.org/W2012792772","https://openalex.org/W2356573839","https://openalex.org/W2952127465","https://openalex.org/W2009028679","https://openalex.org/W2357424838","https://openalex.org/W2356903262","https://openalex.org/W2327601824","https://openalex.org/W4237142086"],"abstract_inverted_index":{"The":[0,33],"total":[1],"control":[2,21],"of":[3,11,63,70,86],"diverse":[4],"production":[5,10],"processes,":[6],"among":[7],"them":[8],"the":[9,30,38,53,61,84,89],"parts":[12],"with":[13],"treated":[14],"metallic":[15],"surfaces,":[16],"has":[17],"recently":[18],"spread.":[19],"Such":[20],"tasks":[22],"can":[23,42],"be":[24],"difficult":[25],"and":[26,48,80],"boring":[27],"enough":[28],"for":[29],"human":[31,64],"inspectors.":[32],"automated":[34],"inspection":[35],"systems":[36,57],"are":[37,81],"only":[39],"ones":[40],"which":[41,74],"provide":[43],"a":[44],"high":[45],"accuracy,":[46],"speed":[47],"safeness.":[49],"But":[50],"to":[51,59],"detect":[52],"correct":[54],"objects":[55],"such":[56],"have":[58,75],"consider":[60],"features":[62,79],"perception.":[65],"We":[66],"propose":[67],"new":[68],"methods":[69],"an":[71],"adaptive":[72],"thresholding":[73],"\u201chuman":[76],"-":[77],"like\u201d":[78],"robust":[82],"against":[83],"detection":[85],"artefacts":[87],"in":[88],"image.":[90]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
