{"id":"https://openalex.org/W3003025203","doi":"https://doi.org/10.1145/3373419.3373451","title":"A Novel Image Segmentation Algorithm Based on Active Contour Model and Retinex Model","display_name":"A Novel Image Segmentation Algorithm Based on Active Contour Model and Retinex Model","publication_year":2019,"publication_date":"2019-11-08","ids":{"openalex":"https://openalex.org/W3003025203","doi":"https://doi.org/10.1145/3373419.3373451","mag":"3003025203"},"language":"en","primary_location":{"id":"doi:10.1145/3373419.3373451","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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/A5100642607","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-7249-698X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Liu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xian, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670835","display_name":"Jianqiao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiao Wang","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xian, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350262","display_name":"Qi Li","orcid":"https://orcid.org/0000-0003-0679-4385"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xian, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056768668","display_name":"Miaohua Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miaohua Shi","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xian, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100642607"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17073989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"60","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9993000030517578,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9962999820709229,"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":0.987500011920929,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7257406711578369},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7014806866645813},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.6824451684951782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027251482009888},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5939779877662659},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5763177275657654},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.5632719397544861},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.541221559047699},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5260600447654724},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.41377946734428406},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.41375425457954407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.412160187959671},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35613828897476196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06837636232376099}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7257406711578369},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7014806866645813},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.6824451684951782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027251482009888},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5939779877662659},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5763177275657654},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.5632719397544861},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.541221559047699},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5260600447654724},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.41377946734428406},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.41375425457954407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.412160187959671},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35613828897476196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06837636232376099}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373419.3373451","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373419.3373451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Advances in Image Processing","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":15,"referenced_works":["https://openalex.org/W40037269","https://openalex.org/W1496099826","https://openalex.org/W1543200909","https://openalex.org/W1894285152","https://openalex.org/W2024665095","https://openalex.org/W2037559649","https://openalex.org/W2065350495","https://openalex.org/W2080668963","https://openalex.org/W2104095591","https://openalex.org/W2106297221","https://openalex.org/W2116040950","https://openalex.org/W2132116135","https://openalex.org/W2412453666","https://openalex.org/W2794831444","https://openalex.org/W4240153047"],"related_works":["https://openalex.org/W3144569342","https://openalex.org/W2185902295","https://openalex.org/W2945274617","https://openalex.org/W2372421320","https://openalex.org/W2057775483","https://openalex.org/W2041871225","https://openalex.org/W2386644571","https://openalex.org/W4205800335","https://openalex.org/W2387793296","https://openalex.org/W2380607399"],"abstract_inverted_index":{"The":[0,102],"algorithm":[1],"of":[2,26,77,96],"active":[3],"contour":[4],"model":[5,46,67],"is":[6,51],"an":[7,43],"image":[8,28,37,59,107],"segmentation":[9,25,38,118],"method":[10,113],"based":[11,47],"on":[12,48,105],"curve":[13],"evolution":[14],"theory,":[15],"which":[16,53],"have":[17],"great":[18],"flexibility,":[19],"adaptability":[20],"and":[21,57,99],"separation":[22],"accuracy.":[23],"Accurate":[24],"inhomogeneous":[27],"targets":[29],"has":[30],"always":[31],"been":[32],"a":[33,83],"difficult":[34],"issue":[35],"in":[36],"field.":[39],"In":[40],"this":[41,72],"paper,":[42],"improved":[44],"Chan-Vese":[45,79],"local":[49,58,63,100],"information":[50],"proposed,":[52],"utilizes":[54],"both":[55],"global":[56,98],"information.":[60,101],"Combining":[61],"the":[62,69,75,78,88,93,97,111],"binary":[64],"fitting":[65,89],"(LBF)":[66],"with":[68],"retinex":[70],"model,":[71],"paper":[73],"redefines":[74],"fit":[76],"model.":[80],"And":[81],"adding":[82],"weight":[84],"coefficient,":[85],"so":[86],"that":[87,110],"term":[90],"adaptively":[91],"calculates":[92],"respective":[94],"weights":[95],"experimental":[103],"results":[104],"various":[106],"data":[108],"show":[109],"proposed":[112],"can":[114],"achieve":[115],"more":[116],"accurate":[117],"results.":[119]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
