{"id":"https://openalex.org/W2577993085","doi":"https://doi.org/10.1145/3015166.3015171","title":"Pig target extraction based on adaptive elliptic block and wavelet edge detection","display_name":"Pig target extraction based on adaptive elliptic block and wavelet edge detection","publication_year":2016,"publication_date":"2016-11-21","ids":{"openalex":"https://openalex.org/W2577993085","doi":"https://doi.org/10.1145/3015166.3015171","mag":"2577993085"},"language":"en","primary_location":{"id":"doi:10.1145/3015166.3015171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015166.3015171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Signal Processing Systems","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/A5101026371","display_name":"Changhua Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhua Ma","raw_affiliation_strings":["School of electrical and information engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electrical and information engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103652162","display_name":"Weixing Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixing Zhu","raw_affiliation_strings":["School of electrical and information engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electrical and information engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348588","display_name":"Hao Li","orcid":"https://orcid.org/0000-0002-4019-3420"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["School of electrical and information engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electrical and information engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101863528","display_name":"Xincheng Li","orcid":"https://orcid.org/0009-0006-4675-0773"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xincheng Li","raw_affiliation_strings":["School of electrical and information engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of electrical and information engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":1.2741,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84604969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2013","issue":null,"first_page":"11","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9715999960899353,"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/wavelet","display_name":"Wavelet","score":0.703464925289154},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6969075202941895},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6857503652572632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6653706431388855},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6070168018341064},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.6066031455993652},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6055849194526672},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5833181142807007},{"id":"https://openalex.org/keywords/mathematical-morphology","display_name":"Mathematical morphology","score":0.5561342835426331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.516198456287384},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5138238072395325},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4905385375022888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4660210609436035},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4404413104057312},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.43758973479270935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39935335516929626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29864299297332764},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.19651129841804504},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09601369500160217}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.703464925289154},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6969075202941895},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6857503652572632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6653706431388855},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6070168018341064},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.6066031455993652},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6055849194526672},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5833181142807007},{"id":"https://openalex.org/C185568154","wikidata":"https://www.wikidata.org/wiki/Q530242","display_name":"Mathematical morphology","level":4,"score":0.5561342835426331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.516198456287384},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5138238072395325},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4905385375022888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4660210609436035},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4404413104057312},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.43758973479270935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39935335516929626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29864299297332764},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.19651129841804504},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09601369500160217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3015166.3015171","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3015166.3015171","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Signal Processing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974991749","https://openalex.org/W1982935657","https://openalex.org/W1992608422","https://openalex.org/W1998482923","https://openalex.org/W2004696315","https://openalex.org/W2008105767","https://openalex.org/W2039569017","https://openalex.org/W2053289930","https://openalex.org/W2091991228","https://openalex.org/W2906891939"],"related_works":["https://openalex.org/W2370741721","https://openalex.org/W2073518521","https://openalex.org/W2348086063","https://openalex.org/W2154864549","https://openalex.org/W2378480570","https://openalex.org/W2008160399","https://openalex.org/W2163448995","https://openalex.org/W2142724665","https://openalex.org/W2025609203","https://openalex.org/W2349826544"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,47,69,140],"obtain":[3],"the":[4,8,15,49,65,70,75,90,107,120,131],"prospect":[5],"targets":[6],"from":[7],"top":[9],"view":[10],"image":[11,67],"of":[12,19,93,106,123,144],"pig":[13,62,95,111],"barns,":[14],"target":[16,142],"extraction":[17,82],"method":[18,99],"pigs":[20],"based":[21],"on":[22],"adaptive":[23,55],"elliptical":[24,56,87],"block":[25,57,88],"and":[26,41,89,127,151],"wavelet":[27,76],"edge":[28,77],"detection":[29,78],"is":[30,100],"proposed":[31],"in":[32,64,85,110,148],"this":[33],"paper.":[34],"Firstly,":[35],"two-dimensional":[36],"OTSU":[37],"global":[38],"threshold":[39],"segmentation":[40,51,72],"mathematic":[42],"morphology":[43],"processing":[44],"were":[45,58,96],"used":[46,84],"get":[48],"initial":[50,71],"results.":[52,73],"And":[53],"then,":[54],"taken":[59],"around":[60],"each":[61,86,94],"respectively":[63],"original":[66],"according":[68],"Finally,":[74],"for":[79,102,119],"secondary":[80],"accurate":[81],"was":[83],"complete":[91],"contours":[92,143],"obtained.":[97],"This":[98,113],"suitable":[101],"a":[103,116,137],"complex":[104,149],"environment":[105],"light":[108],"changes":[109],"barns.":[112],"work":[114],"provides":[115],"good":[117],"foundation":[118],"further":[121],"research":[122],"pig's":[124],"individual":[125],"identification":[126],"behavior":[128],"analysis.":[129],"On":[130],"other":[132,145],"hand,":[133],"it":[134],"also":[135],"explores":[136],"new":[138],"way":[139],"extract":[141],"similar":[146],"images":[147],"environments":[150],"scenes.":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
