{"id":"https://openalex.org/W2155259683","doi":"https://doi.org/10.48550/arxiv.1307.4516","title":"Mammogram Edge Detection Using Hybrid Soft Computing Methods","display_name":"Mammogram Edge Detection Using Hybrid Soft Computing Methods","publication_year":2013,"publication_date":"2013-07-17","ids":{"openalex":"https://openalex.org/W2155259683","doi":"https://doi.org/10.48550/arxiv.1307.4516","mag":"2155259683"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1307.4516","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1307.4516","pdf_url":"https://arxiv.org/pdf/1307.4516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1307.4516","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064826010","display_name":"I. Laurence Aroquiaraj","orcid":"https://orcid.org/0000-0002-3203-0488","observed_orcids":["https://orcid.org/0000-0002-3203-0488"]},"institutions":[{"id":"https://openalex.org/I141431873","display_name":"Periyar University","ror":"https://ror.org/05crs8s98","country_code":"IN","type":"education","lineage":["https://openalex.org/I141431873"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aroquiaraj, I. Laurence","raw_affiliation_strings":["Department of Computer Science , Periyar University , Salem - 636 011 , Tamil Nadu , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Periyar University , Salem - 636 011 , Tamil Nadu , India","institution_ids":["https://openalex.org/I141431873"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109431109","display_name":"K. Thangavel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I141431873","display_name":"Periyar University","ror":"https://ror.org/05crs8s98","country_code":"IN","type":"education","lineage":["https://openalex.org/I141431873"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thangavel, K.","raw_affiliation_strings":["Department of Computer Science , Periyar University , Salem - 636 011 , Tamil Nadu , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , Periyar University , Salem - 636 011 , Tamil Nadu , India","institution_ids":["https://openalex.org/I141431873"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141431873"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9214000105857849,"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":0.9214000105857849,"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":0.05779999867081642,"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/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.003800000064074993,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/breast-tumor-detection","display_name":"breast tumor detection","score":0.6690000295639038},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.7649999856948853},{"id":"https://openalex.org/keywords/hybrid-soft-computing","display_name":"hybrid soft computing","score":0.8479999899864197},{"id":"https://openalex.org/keywords/edge-detection-operators","display_name":"edge detection operators","score":0.46799999475479126},{"id":"https://openalex.org/keywords/canny-edge-detection","display_name":"Canny edge detection","score":0.6389999985694885},{"id":"https://openalex.org/keywords/sobel-edge-detector","display_name":"Sobel edge detector","score":0.6880000233650208}],"concepts":[{"id":"https://openalex.org/C155012704","wikidata":"https://www.wikidata.org/wiki/Q451898","display_name":"Prewitt operator","level":5,"score":0.8893846869468689},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.8295295238494873},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.7861276268959045},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7232227921485901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6924659013748169},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6870987415313721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765420436859131},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.662824809551239},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5772749781608582},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4983541965484619},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.4970610439777374},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4428125023841858},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.4332907795906067},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4227157235145569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4182482957839966},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4060015380382538},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38025158643722534}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1307.4516","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1307.4516","pdf_url":"https://arxiv.org/pdf/1307.4516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1307.4516","doi":"https://doi.org/10.48550/arxiv.1307.4516","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1307.4516","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1307.4516","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1307.4516","pdf_url":"https://arxiv.org/pdf/1307.4516","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2155259683.pdf","grobid_xml":"https://content.openalex.org/works/W2155259683.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1947373225","https://openalex.org/W1966166317","https://openalex.org/W1986923534","https://openalex.org/W2020854598","https://openalex.org/W2043109337","https://openalex.org/W2052455936","https://openalex.org/W2102427741","https://openalex.org/W2105035676","https://openalex.org/W2115414021","https://openalex.org/W2116216752","https://openalex.org/W2132204530","https://openalex.org/W2150134853","https://openalex.org/W2154404668","https://openalex.org/W2160694009","https://openalex.org/W2161327493","https://openalex.org/W2166509719","https://openalex.org/W2169448381","https://openalex.org/W2171907509","https://openalex.org/W2606684948","https://openalex.org/W2617688001"],"related_works":["https://openalex.org/W7214073627","https://openalex.org/W7096430954","https://openalex.org/W2187935572","https://openalex.org/W2339617301","https://openalex.org/W612391925","https://openalex.org/W4200461973","https://openalex.org/W4225416988","https://openalex.org/W2372346927","https://openalex.org/W2626408115","https://openalex.org/W1975172211"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,39,148],"is":[2,16,72,143],"a":[3,7,41,73,190],"crucial":[4],"step":[5,76],"in":[6,18,25,35,44,69,116,146,169],"wide":[8],"range":[9],"of":[10,20,30,46,56,62,67,85,98,102,118,122,239],"method":[11],"image":[12,38,47,57,71,79,136,147],"processing":[13,48],"systems.":[14],"It":[15],"useful":[17],"visualization":[19],"the":[21,26,31,36,54,60,63,166,237,240],"different":[22,64,157],"objects":[23,58],"present":[24],"image.":[27],"In":[28,187],"spite":[29],"several":[32,109],"methods":[33,173],"available":[34,175],"literature,":[37],"still":[40],"challenging":[42],"problem":[43],"most":[45],"applications.":[49],"The":[50,100],"challenge":[51],"comes":[52],"from":[53,108],"fuzziness":[55],"and":[59,128,206,229],"overlapping":[61],"regions.":[65],"Detection":[66],"edges":[68,132],"an":[70],"very":[74],"important":[75],"towards":[77],"understanding":[78],"features.":[80],"There":[81],"are":[82,114,124,151,174,227,232],"large":[83],"numbers":[84],"edge":[86,103,141,177,185,194,225],"detection":[87,104,142,178,195],"operators":[88,226],"available,":[89],"each":[90],"designed":[91],"to":[92,95,156],"be":[93,106,161,210],"sensitive":[94],"certain":[96],"types":[97],"edges.":[99],"Quality":[101],"can":[105,160,209],"measured":[107],"criteria":[110,113],"objectively.":[111],"Some":[112],"proposed":[115,198,241],"terms":[117],"mathematical":[119],"measurement,":[120],"some":[121],"them":[123],"based":[125],"on":[126],"application":[127],"implementation":[129],"requirements.":[130],"Since":[131],"often":[133],"occur":[134],"at":[135],"locations":[137],"representing":[138],"object":[139],"boundaries,":[140],"extensively":[144],"used":[145,162,228],"when":[149],"images":[150],"divided":[152],"into":[153],"areas":[154],"corresponding":[155],"objects.":[158],"This":[159],"specifically":[163],"for":[164,176,193,199],"enhancing":[165],"tumor":[167,207],"area":[168],"mammographic":[170,200],"images.":[171,201],"Different":[172],"like":[179],"Roberts,":[180,220],"Sobel,":[181,221],"Prewitt,":[182,222],"Canny,":[183,223],"Log":[184,224],"operators.":[186],"this":[188,215],"paper":[189],"novel":[191],"algorithms":[192],"has":[196],"been":[197],"Breast":[202],"boundary,":[203],"pectoral":[204],"region":[205],"location":[208],"seen":[211],"clearly":[212],"by":[213],"using":[214],"method.":[216],"For":[217],"comparison":[218],"purpose":[219],"their":[230],"results":[231,235],"displayed.":[233],"Experimental":[234],"demonstrate":[236],"effectiveness":[238],"approach.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
