{"id":"https://openalex.org/W1992182743","doi":"https://doi.org/10.1145/1858378.1858412","title":"Performance analysis of various leaf boundary edge detection algorithms","display_name":"Performance analysis of various leaf boundary edge detection algorithms","publication_year":2010,"publication_date":"2010-09-16","ids":{"openalex":"https://openalex.org/W1992182743","doi":"https://doi.org/10.1145/1858378.1858412","mag":"1992182743"},"language":"en","primary_location":{"id":"doi:10.1145/1858378.1858412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1858378.1858412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India","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/A5011715763","display_name":"N. Valliammal","orcid":null},"institutions":[{"id":"https://openalex.org/I161045824","display_name":"Avinashilingam University","ror":"https://ror.org/05dxzqa20","country_code":"IN","type":"education","lineage":["https://openalex.org/I161045824"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"N. Valliammal","raw_affiliation_strings":["Avinashilingam Deemed University for Women, Coimbatore"],"affiliations":[{"raw_affiliation_string":"Avinashilingam Deemed University for Women, Coimbatore","institution_ids":["https://openalex.org/I161045824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000555673","display_name":"S. N. Geethalakshmi","orcid":null},"institutions":[{"id":"https://openalex.org/I161045824","display_name":"Avinashilingam University","ror":"https://ror.org/05dxzqa20","country_code":"IN","type":"education","lineage":["https://openalex.org/I161045824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. N. Geethalakshmi","raw_affiliation_strings":["Avinashilingam Deemed University for Women, Coimbatore"],"affiliations":[{"raw_affiliation_string":"Avinashilingam Deemed University for Women, Coimbatore","institution_ids":["https://openalex.org/I161045824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011715763"],"corresponding_institution_ids":["https://openalex.org/I161045824"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.11413398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prewitt-operator","display_name":"Prewitt operator","score":0.9225504398345947},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7546308040618896},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.7177131772041321},{"id":"https://openalex.org/keywords/plant-identification","display_name":"Plant identification","score":0.6401017308235168},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6142349243164062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6114925146102905},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.5985736846923828},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5883690714836121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5787472128868103},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5444028377532959},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5288603901863098},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4929685592651367},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.4828487038612366},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47853121161460876},{"id":"https://openalex.org/keywords/multigraph","display_name":"Multigraph","score":0.4180670976638794},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4113108515739441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.394500732421875},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3036186695098877},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26604002714157104},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15507322549819946},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.1507279872894287}],"concepts":[{"id":"https://openalex.org/C155012704","wikidata":"https://www.wikidata.org/wiki/Q451898","display_name":"Prewitt operator","level":5,"score":0.9225504398345947},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7546308040618896},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.7177131772041321},{"id":"https://openalex.org/C2776091240","wikidata":"https://www.wikidata.org/wiki/Q106238460","display_name":"Plant identification","level":2,"score":0.6401017308235168},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6142349243164062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6114925146102905},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.5985736846923828},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5883690714836121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5787472128868103},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5444028377532959},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5288603901863098},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4929685592651367},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.4828487038612366},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47853121161460876},{"id":"https://openalex.org/C17758045","wikidata":"https://www.wikidata.org/wiki/Q2642629","display_name":"Multigraph","level":3,"score":0.4180670976638794},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4113108515739441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.394500732421875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3036186695098877},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26604002714157104},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15507322549819946},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.1507279872894287},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1858378.1858412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1858378.1858412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1842814","https://openalex.org/W1590290399","https://openalex.org/W1886246253","https://openalex.org/W1995127905","https://openalex.org/W2004217976","https://openalex.org/W2021813398","https://openalex.org/W2052525269","https://openalex.org/W2053249772","https://openalex.org/W2112142110","https://openalex.org/W2121285562","https://openalex.org/W2121767488","https://openalex.org/W2123475982","https://openalex.org/W2124870639","https://openalex.org/W2127569063","https://openalex.org/W2152391476","https://openalex.org/W2155323527","https://openalex.org/W4214540058","https://openalex.org/W4244846723","https://openalex.org/W4285719527","https://openalex.org/W4299697671"],"related_works":["https://openalex.org/W2028915339","https://openalex.org/W2589278859","https://openalex.org/W2367298911","https://openalex.org/W4312567938","https://openalex.org/W2367365714","https://openalex.org/W2385342205","https://openalex.org/W2042343527","https://openalex.org/W2079299034","https://openalex.org/W2064144473","https://openalex.org/W2354100707"],"abstract_inverted_index":{"Plants":[0],"play":[1],"an":[2,102],"important":[3],"role":[4,71],"in":[5,40,72,111],"both":[6,107],"human":[7],"life":[8],"and":[9,21,51,63,93,109,133,155,170],"other":[10],"lives":[11],"that":[12,164],"exist":[13],"on":[14],"the":[15,31,36,85,139,158,165],"earth.":[16],"Due":[17],"to":[18,47,58,81,100,137],"environmental":[19],"deterioration":[20],"lack":[22],"of":[23,33,77,84,88,114],"awareness,":[24],"many":[25,44],"rare":[26],"plant":[27,66],"species":[28],"are":[29,43,55],"at":[30],"margins":[32],"extinction.":[34],"Despite":[35],"great":[37],"advances":[38],"made":[39],"botany,":[41],"there":[42],"plants":[45,54],"yet":[46],"be":[48,59,82],"discovered,":[49],"classified,":[50],"utilized;":[52],"unknown":[53],"treasures":[56],"waiting":[57],"found.":[60],"Leaf":[61],"classification":[62],"recognition":[64,94],"for":[65],"identification":[67,92],"plays":[68],"a":[69,115,121,129],"vital":[70,86],"all":[73],"these":[74],"endeavors.":[75],"Detection":[76],"edges":[78,113],"is":[79,99,106,168],"considered":[80],"one":[83],"steps":[87],"preprocessing":[89],"during":[90],"leaf":[91,116],"system.":[95],"The":[96,141],"current":[97],"need":[98],"have":[101],"edge":[103,124,148],"detector":[104],"which":[105,127],"fast":[108],"efficient":[110],"identifying":[112],"image.":[117],"This":[118],"paper":[119],"introduced":[120],"wavelet":[122,131],"base":[123],"detection":[125],"technique,":[126],"used":[128],"dyadic":[130],"transformation":[132],"p-tile":[134],"thresholding":[135],"method":[136,143,167],"find":[138],"edges.":[140,173],"proposed":[142,166],"was":[144,162],"compared":[145],"with":[146],"conventional":[147],"detectors":[149],"like":[150],"canny,":[151],"sobel,":[152],"prewitt,":[153],"Roberts":[154],"Log.":[156],"From":[157],"experimental":[159],"results":[160],"it":[161],"found":[163],"advantageous":[169],"can":[171],"detect":[172]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}