{"id":"https://openalex.org/W3210619872","doi":"https://doi.org/10.1109/icspcc52875.2021.9565002","title":"Edge detection algorithm of low SNR image based on mixed filtering","display_name":"Edge detection algorithm of low SNR image based on mixed filtering","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3210619872","doi":"https://doi.org/10.1109/icspcc52875.2021.9565002","mag":"3210619872"},"language":"en","primary_location":{"id":"doi:10.1109/icspcc52875.2021.9565002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9565002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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/A5048146081","display_name":"Qi Tang","orcid":"https://orcid.org/0000-0002-1722-3839"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tang Qi","raw_affiliation_strings":["Xi'an University of Posts & Telecommunication, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunication, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102429598","display_name":"Sun Yi-xuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sun Yi-xuan","raw_affiliation_strings":["Xi'an University of Posts & Telecommunication, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunication, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041851332","display_name":"Zhou Ke-xin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Ke-xin","raw_affiliation_strings":["Xi'an University of Posts & Telecommunication, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunication, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013646337","display_name":"Wen-tian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Wen-tian","raw_affiliation_strings":["Xi'an University of Posts & Telecommunication, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi'an University of Posts & Telecommunication, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048146081"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41086601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"38","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement 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/T11019","display_name":"Image Enhancement 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9955999851226807,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7340899109840393},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.6900012493133545},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6771807670593262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6102336645126343},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5789264440536499},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5717213153839111},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5613174438476562},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5126813650131226},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.49093249440193176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4796900451183319},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46397122740745544},{"id":"https://openalex.org/keywords/edge-enhancement","display_name":"Edge enhancement","score":0.44244521856307983},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42669832706451416},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.4250662922859192},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.4068944454193115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3862537443637848},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3290945589542389}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7340899109840393},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.6900012493133545},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6771807670593262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6102336645126343},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5789264440536499},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5717213153839111},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5613174438476562},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5126813650131226},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.49093249440193176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796900451183319},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46397122740745544},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.44244521856307983},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42669832706451416},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.4250662922859192},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.4068944454193115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3862537443637848},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3290945589542389}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspcc52875.2021.9565002","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspcc52875.2021.9565002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","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":14,"referenced_works":["https://openalex.org/W2003370853","https://openalex.org/W2038584908","https://openalex.org/W2108729336","https://openalex.org/W2125188192","https://openalex.org/W2145023731","https://openalex.org/W2252386397","https://openalex.org/W2352024706","https://openalex.org/W2359783879","https://openalex.org/W2928793639","https://openalex.org/W2994881150","https://openalex.org/W3011211444","https://openalex.org/W4289655569","https://openalex.org/W6771986172","https://openalex.org/W6841296434"],"related_works":["https://openalex.org/W2038952732","https://openalex.org/W2007263266","https://openalex.org/W2545065926","https://openalex.org/W2368814124","https://openalex.org/W2762906629","https://openalex.org/W2361955833","https://openalex.org/W3093839383","https://openalex.org/W2123172162","https://openalex.org/W1497231902","https://openalex.org/W2362371201"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,11,43,53,66,74,95],"available":[3,96],"edge":[4,12,20,46,55,88,92,97],"detection":[5,21,98],"algorithms":[6],"can":[7,77],"not":[8,78],"effectively":[9],"extract":[10],"information":[13,89],"for":[14,23],"low":[15,24],"SNR":[16,25],"image,":[17],"a":[18,38],"new":[19],"algorithm":[22,76],"image":[26,54],"based":[27],"on":[28],"mixed":[29,39],"filter":[30,40,80],"is":[31],"proposed":[32,75],"in":[33],"this":[34],"paper.":[35],"Which":[36],"using":[37],"to":[41],"achieve":[42],"effects":[44],"of":[45,68,71],"protection":[47],"and":[48,50,90],"denoising,":[49],"then":[51],"acquires":[52],"by":[56],"high":[57],"effective":[58],"differential":[59],"operators.":[60],"Experimental":[61],"results":[62],"show":[63],"that":[64],"under":[65],"interference":[67],"different":[69],"concentrations":[70],"salt-and-pepper":[72],"noise,":[73],"only":[79],"out":[81],"noise":[82],"better,":[83],"but":[84],"also":[85],"retain":[86],"more":[87],"improve":[91],"connectivity":[93],"than":[94],"algorithms.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
