{"id":"https://openalex.org/W4224033959","doi":"https://doi.org/10.1142/s0219467823500225","title":"Generation of Random Fields for Image Segmentation Techniques: A Review","display_name":"Generation of Random Fields for Image Segmentation Techniques: A Review","publication_year":2022,"publication_date":"2022-04-13","ids":{"openalex":"https://openalex.org/W4224033959","doi":"https://doi.org/10.1142/s0219467823500225"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467823500225","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500225","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"},"type":"review","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/A5025986224","display_name":"Rambabu Pemula","orcid":"https://orcid.org/0000-0002-6565-2822"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rambabu Pemula","raw_affiliation_strings":["Department of Computer Science and Engineering, RAGHU Engineering College, Visakhapatnam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, RAGHU Engineering College, Visakhapatnam, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102016419","display_name":"S. Vijaya Kumar","orcid":"https://orcid.org/0000-0002-2867-3093"},"institutions":[{"id":"https://openalex.org/I885392262","display_name":"GITAM University","ror":"https://ror.org/0440p1d37","country_code":"IN","type":"education","lineage":["https://openalex.org/I885392262"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sagenela Vijaya Kumar","raw_affiliation_strings":["Department of Computer Science and Engineering, School of Technology, GITAM (Deemed to be University), Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, School of Technology, GITAM (Deemed to be University), Hyderabad, India","institution_ids":["https://openalex.org/I885392262"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050233273","display_name":"C. Nagaraju","orcid":"https://orcid.org/0000-0003-1617-6011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Nagaraju","raw_affiliation_strings":["Department of Computer Science and Engineering, YSR Engineering College of YV University, Proddatur, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, YSR Engineering College of YV University, Proddatur, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025986224"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1021,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.35329078,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"23","issue":"02","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9973999857902527,"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/T10036","display_name":"Advanced Neural Network Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515878081321716},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7018449902534485},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6735149025917053},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6501786112785339},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.640526294708252},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5995181202888489},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5932185649871826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5692466497421265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5303671360015869},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5117992758750916},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4699818193912506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4446556866168976},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4407666027545929},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.43496447801589966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515878081321716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7018449902534485},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6735149025917053},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6501786112785339},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.640526294708252},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5995181202888489},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5932185649871826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5692466497421265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5303671360015869},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5117992758750916},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4699818193912506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4446556866168976},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4407666027545929},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.43496447801589966},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467823500225","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467823500225","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W46198179","https://openalex.org/W1492498087","https://openalex.org/W1912512680","https://openalex.org/W1938245823","https://openalex.org/W1975795658","https://openalex.org/W1983075825","https://openalex.org/W1984153831","https://openalex.org/W1987286789","https://openalex.org/W1998157976","https://openalex.org/W2001572836","https://openalex.org/W2030330616","https://openalex.org/W2034699082","https://openalex.org/W2036075184","https://openalex.org/W2038037829","https://openalex.org/W2038988575","https://openalex.org/W2044072771","https://openalex.org/W2051666324","https://openalex.org/W2058232500","https://openalex.org/W2068885053","https://openalex.org/W2073301055","https://openalex.org/W2073469994","https://openalex.org/W2083542343","https://openalex.org/W2083827484","https://openalex.org/W2083970667","https://openalex.org/W2112503046","https://openalex.org/W2121947440","https://openalex.org/W2128060444","https://openalex.org/W2132116135","https://openalex.org/W2133059825","https://openalex.org/W2141358266","https://openalex.org/W2142366297","https://openalex.org/W2145023731","https://openalex.org/W2152529565","https://openalex.org/W2162355375","https://openalex.org/W2294233550","https://openalex.org/W2325111490","https://openalex.org/W2404338100","https://openalex.org/W2553149432","https://openalex.org/W2559191887","https://openalex.org/W2602364336","https://openalex.org/W2607619812","https://openalex.org/W2608819578","https://openalex.org/W2731241673","https://openalex.org/W2734523407","https://openalex.org/W2789646393","https://openalex.org/W2800439521","https://openalex.org/W2911964244","https://openalex.org/W4211007335","https://openalex.org/W4247139996"],"related_works":["https://openalex.org/W1631910785","https://openalex.org/W2566648451","https://openalex.org/W2951798667","https://openalex.org/W2897195263","https://openalex.org/W2183053814","https://openalex.org/W3214851576","https://openalex.org/W2184961033","https://openalex.org/W4300588009","https://openalex.org/W2781336542","https://openalex.org/W2593535745"],"abstract_inverted_index":{"Generation":[0],"of":[1,22,28,45,76,81,87,94,131],"random":[2],"fields":[3,44],"(GRF)":[4],"for":[5],"image":[6,11,34,48,51,66],"segmentation":[7,67,75,95],"represents":[8],"partitioning":[9],"an":[10],"into":[12],"different":[13],"regions":[14],"that":[15],"are":[16,72,108,126],"homogeneous":[17],"or":[18],"have":[19,63],"similar":[20],"facets":[21],"the":[23,29,43,84,101,113,124,129],"image.":[24],"It":[25],"is":[26],"one":[27],"most":[30],"challenging":[31],"tasks":[32],"in":[33,42,83,128],"processing":[35],"and":[36,57,91,110,119,123,133],"a":[37],"very":[38],"important":[39],"pre-processing":[40],"step":[41],"computer":[46],"vision,":[47],"analysis,":[49],"medical":[50],"processing,":[52],"pattern":[53],"recognition,":[54],"remote":[55],"sensing,":[56],"geographical":[58],"information":[59],"system.":[60],"Many":[61],"researchers":[62],"presented":[64],"numerous":[65],"approaches,":[68],"but":[69],"still,":[70],"there":[71],"challenges":[73],"like":[74],"low":[77],"contrast":[78],"images,":[79,85,90],"removal":[80],"shadow":[82],"reduction":[86],"high":[88],"dimensional":[89],"computational":[92],"complexity":[93],"techniques.":[96],"In":[97],"this":[98],"review":[99],"paper,":[100],"authors":[102],"address":[103],"these":[104],"issues.":[105],"The":[106],"experiments":[107],"conducted":[109],"tested":[111],"on":[112],"Berkely":[114],"dataset":[115],"(BSD500),":[116],"Semantic":[117],"dataset,":[118,122],"our":[120],"own":[121],"results":[125],"shown":[127],"form":[130],"tables":[132],"graphs.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}
