{"id":"https://openalex.org/W1548997247","doi":"https://doi.org/10.1109/icpr.2002.1044879","title":"Color image segmentation based on Markov random field clustering for histological image analysis","display_name":"Color image segmentation based on Markov random field clustering for histological image analysis","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W1548997247","doi":"https://doi.org/10.1109/icpr.2002.1044879","mag":"1548997247"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5112992372","display_name":"Vannary Meas\u2010Yedid","orcid":null},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"funder","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"V. Meas-Yedid","raw_affiliation_strings":["Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003277493","display_name":"S. Tilie","orcid":null},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"funder","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"S. Tilie","raw_affiliation_strings":["Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003562216","display_name":"Jean\u2010Christophe Olivo\u2010Mar\u00edn","orcid":"https://orcid.org/0000-0001-6796-0696"},"institutions":[{"id":"https://openalex.org/I157536573","display_name":"Institut Pasteur","ror":"https://ror.org/0495fxg12","country_code":"FR","type":"funder","lineage":["https://openalex.org/I157536573"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-C. Olivo-Marin","raw_affiliation_strings":["Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France"],"affiliations":[{"raw_affiliation_string":"Institut Pasteur, Quantitative Image Analysis Unit, Paris, France","institution_ids":["https://openalex.org/I157536573"]},{"raw_affiliation_string":"Quantitative Image Anal. Unit, Inst. Pasteur, Paris, France","institution_ids":["https://openalex.org/I157536573"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112992372"],"corresponding_institution_ids":["https://openalex.org/I157536573"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.10436137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"796","last_page":"799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9922999739646912,"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/T11316","display_name":"Mycobacterium research and diagnosis","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7781979441642761},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6638268828392029},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6412591338157654},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6378925442695618},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6281492710113525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6177790760993958},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5935490131378174},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5747511982917786},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5604793429374695},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4478328824043274},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4183058738708496},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0904187262058258}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7781979441642761},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6638268828392029},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6412591338157654},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6378925442695618},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6281492710113525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6177790760993958},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5935490131378174},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5747511982917786},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5604793429374695},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4478328824043274},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4183058738708496},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0904187262058258},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1044879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2038506056","https://openalex.org/W2047491156","https://openalex.org/W2083164767","https://openalex.org/W2094510831","https://openalex.org/W2113076747","https://openalex.org/W2116930734","https://openalex.org/W2124260943","https://openalex.org/W2167077256","https://openalex.org/W2319660501"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W3199300986","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W4233585817"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,39,53,96],"characterise":[3],"the":[4,14,17,65,107,113,116],"virulence":[5],"factors":[6],"of":[7,22,67,100,106,115],"different":[8,101],"Mycobacterium":[9],"tuberculosis":[10,15],"strains":[11],"responsible":[12],"for":[13],"disease,":[16],"quantification,":[18],"by":[19,31,64],"cell":[20,24,57,69],"counting,":[21],"immune":[23,59],"recruitment":[25],"is":[26,34,89],"necessary.":[27],"However":[28],"this":[29],"task":[30],"microscopic":[32],"observations":[33],"very":[35],"tedious":[36],"and":[37,61,86,103,125],"difficult":[38],"reproduce.":[40],"Hence":[41],"we":[42],"propose":[43],"an":[44,104],"automatic":[45],"counting":[46],"approach,":[47],"consisting":[48],"in":[49],"color":[50,72,85,98,121],"image":[51],"segmentation":[52],"discriminate":[54],"three":[55],"regions:":[56],"nuclei,":[58],"cells":[60],"background,":[62],"followed":[63],"extraction":[66],"each":[68],"entity.":[70],"For":[71],"segmentation,":[73],"a":[74],"Markov":[75],"random":[76],"field":[77],"clustering":[78],"approach":[79],"taking":[80],"simultaneously":[81],"into":[82],"account":[83],"both":[84],"spatial":[87],"information":[88],"chosen.":[90],"Our":[91],"technique":[92],"was":[93],"successfully":[94],"applied":[95],"several":[97],"images":[99],"strains,":[102],"evaluation":[105],"results":[108],"has":[109],"been":[110],"performed,":[111],"showing":[112],"robustness":[114],"method":[117],"against":[118],"noise,":[119],"marker":[120],"changes,":[122],"illumination":[123],"changes":[124],"blurring.":[126]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
