{"id":"https://openalex.org/W2792912814","doi":"https://doi.org/10.1109/icip.2017.8297000","title":"A multi-direction image fusion based approach for classification of multi-focal nematode image stacks","display_name":"A multi-direction image fusion based approach for classification of multi-focal nematode image stacks","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2792912814","doi":"https://doi.org/10.1109/icip.2017.8297000","mag":"2792912814"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2017.8297000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/A5100343854","display_name":"Min Liu","orcid":"https://orcid.org/0000-0001-6406-4896"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Liu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683380","display_name":"Xueping Wang","orcid":"https://orcid.org/0000-0003-4862-8975"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping Wang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Hunan, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002073580","display_name":"Hongzhong Zhang","orcid":"https://orcid.org/0000-0002-3353-037X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzhong Zhang","raw_affiliation_strings":["Department of Industrial Engineering & Operations Research, Columbia University, New York, NY"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Operations Research, Columbia University, New York, NY","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100343854"],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.29250218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"3835","last_page":"3839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9916999936103821,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7925701141357422},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.7011770009994507},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6423023343086243},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6046314835548401},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5757969617843628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5747080445289612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5719199776649475},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5311803817749023},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5029317736625671},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.46527785062789917},{"id":"https://openalex.org/keywords/stack","display_name":"Stack (abstract data type)","score":0.44496750831604004},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4426908493041992},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.42838823795318604},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.41309791803359985},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28790271282196045}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7925701141357422},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.7011770009994507},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6423023343086243},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6046314835548401},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5757969617843628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5747080445289612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5719199776649475},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5311803817749023},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5029317736625671},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.46527785062789917},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.44496750831604004},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4426908493041992},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.42838823795318604},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.41309791803359985},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28790271282196045},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2017.8297000","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2017.8297000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Image Processing (ICIP)","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/W1549847950","https://openalex.org/W2011855289","https://openalex.org/W2012870310","https://openalex.org/W2024868105","https://openalex.org/W2037231462","https://openalex.org/W2047186200","https://openalex.org/W2081863860","https://openalex.org/W2108333036","https://openalex.org/W2120725344","https://openalex.org/W2143215648","https://openalex.org/W2146353910","https://openalex.org/W2155284717","https://openalex.org/W2166371785","https://openalex.org/W2168783614"],"related_works":["https://openalex.org/W2116037602","https://openalex.org/W2368671946","https://openalex.org/W2007377145","https://openalex.org/W1996520261","https://openalex.org/W2885148902","https://openalex.org/W1502763594","https://openalex.org/W2151432121","https://openalex.org/W4248172957","https://openalex.org/W2019040739","https://openalex.org/W2053540217"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"to":[5,15,32,122],"use":[6],"a":[7,37,42,64],"multi-direction":[8,104],"image":[9,18,27,39,55,105],"fusion":[10,28,106],"based":[11,107],"feature":[12,108,127],"extraction":[13,109],"approach":[14],"classify":[16],"multi-focal":[17,61,65,98],"stacks.":[19],"The":[20,92],"discrete":[21],"wavelet":[22],"transform":[23],"sparse":[24],"representation":[25],"(DWTSR)":[26],"technique":[29],"is":[30,46],"used":[31],"combine":[33],"relevant":[34],"information":[35],"from":[36,77,116],"given":[38,58],"stack":[40,66],"into":[41],"single":[43,53],"image,":[44],"which":[45],"more":[47],"informative":[48],"and":[49,73],"complete":[50],"than":[51],"any":[52],"individual":[54],"within":[56,63],"the":[57,78,96,113,119],"stack.":[59],"Besides,":[60],"images":[62,80,99],"are":[67,84],"fused":[68,79],"along":[69,81],"3":[70],"orthogonal":[71],"directions,":[72],"multiple":[74],"features":[75],"extracted":[76],"different":[82],"directions":[83],"combined":[85],"by":[86,124],"using":[87,125],"canonical":[88],"correlation":[89],"analysis":[90],"(CCA).":[91],"experimental":[93],"results":[94],"on":[95],"nematode":[97],"show":[100],"that":[101],"our":[102],"proposed":[103],"method":[110],"can":[111],"improve":[112],"recognition":[114],"rate":[115],"83.8%":[117],"in":[118],"previous":[120],"work":[121],"96%":[123],"texture":[126],"only.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
