{"id":"https://openalex.org/W2160480885","doi":"https://doi.org/10.1109/ssiai.2014.6806050","title":"Superpixels using morphology for rock image segmentation","display_name":"Superpixels using morphology for rock image segmentation","publication_year":2014,"publication_date":"2014-04-01","ids":{"openalex":"https://openalex.org/W2160480885","doi":"https://doi.org/10.1109/ssiai.2014.6806050","mag":"2160480885"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2014.6806050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2014.6806050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Southwest Symposium on Image Analysis and Interpretation","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/A5070775012","display_name":"Sree Ramya S. P. Malladi","orcid":"https://orcid.org/0000-0001-8667-4214"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sree Ramya S. P. Malladi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038840367","display_name":"Sundaresh Ram","orcid":"https://orcid.org/0000-0003-1828-9722"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sundaresh Ram","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046365008","display_name":"Jeffrey J. Rodr\u0131\u0301guez","orcid":"https://orcid.org/0000-0002-0590-7520"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey J. Rodriguez","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070775012"],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":0.2472,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.62659096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"145","last_page":"148"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9915000200271606,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6754429340362549},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6618396043777466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6232604384422302},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6206328272819519},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6148642897605896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5607201457023621},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5417817234992981},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5295180678367615},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47639718651771545},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.46893930435180664},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.4656928777694702},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4621478021144867},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4497952461242676},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4232948422431946},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41052064299583435},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.35763195157051086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19018951058387756}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6754429340362549},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6618396043777466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6232604384422302},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6206328272819519},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6148642897605896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5607201457023621},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5417817234992981},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5295180678367615},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47639718651771545},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.46893930435180664},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.4656928777694702},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4621478021144867},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4497952461242676},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4232948422431946},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41052064299583435},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.35763195157051086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19018951058387756},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2014.6806050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2014.6806050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Southwest Symposium on Image Analysis and Interpretation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1548953334","https://openalex.org/W1979503164","https://openalex.org/W1994938019","https://openalex.org/W1999478155","https://openalex.org/W2007139619","https://openalex.org/W2049876721","https://openalex.org/W2067191022","https://openalex.org/W2074678338","https://openalex.org/W2118246710","https://openalex.org/W2119531662","https://openalex.org/W2121947440","https://openalex.org/W2124260943","https://openalex.org/W2134188917","https://openalex.org/W2159378019","https://openalex.org/W2294602567","https://openalex.org/W2545985378","https://openalex.org/W6630399218","https://openalex.org/W6632792525","https://openalex.org/W6697111280"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W2204605857","https://openalex.org/W1996489018","https://openalex.org/W2007664797","https://openalex.org/W3196005494","https://openalex.org/W2120981610","https://openalex.org/W3129669851","https://openalex.org/W2069318476","https://openalex.org/W2131637713","https://openalex.org/W2360759360"],"abstract_inverted_index":{"Detection":[0],"and":[1,19,36,106,118],"segmentation":[2,111],"of":[3,29,60,84,86],"rocks":[4],"is":[5,39,57],"an":[6],"important":[7],"first":[8],"task":[9],"in":[10,52],"many":[11],"applications":[12],"such":[13,31],"as":[14,32],"geological":[15],"analysis,":[16],"planetary":[17],"science":[18],"mining":[20],"processes.":[21],"Rocks":[22],"are":[23],"usually":[24,70],"segmented":[25],"using":[26],"a":[27,58,66,81,116,129,142],"variety":[28],"features":[30,44],"texture,":[33],"shading,":[34],"shape":[35],"edges.":[37],"It":[38],"easier":[40],"to":[41,72,96,99,101,133,145],"compute":[42],"these":[43],"for":[45],"rock":[46,92,110,152],"superpixels":[47],"rather":[48],"than":[49],"every":[50],"pixel":[51],"the":[53,73,87,146,151],"image.":[54],"A":[55],"superpixel":[56,89,121,148],"group":[59],"spatially":[61],"coherent":[62],"pixels":[63],"that":[64,139],"form":[65],"meaningful":[67],"homogeneous":[68],"region,":[69],"belonging":[71],"same":[74],"object.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,114],"perform":[80],"comparative":[82],"study":[83],"some":[85],"current":[88],"algorithms":[90,149],"on":[91,109,150],"images":[93],"with":[94],"regard":[95],"their":[97,104,107],"ability":[98],"adhere":[100],"image":[102],"boundaries,":[103],"speed,":[105],"impact":[108],"performance.":[112],"Also,":[113],"propose":[115],"new":[117],"very":[119],"simple":[120],"algorithm,":[122],"Superpixels":[123],"Using":[124],"Morphology":[125],"(SUM),":[126],"which":[127],"permutes":[128],"watershed":[130],"transformation":[131],"approach":[132],"efficiently":[134],"generate":[135],"superpixels.":[136],"We":[137],"show":[138],"SUM":[140],"achieves":[141],"performance":[143],"comparable":[144],"recent":[147],"images.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
