{"id":"https://openalex.org/W2141560447","doi":"https://doi.org/10.1016/0165-1684(93)90083-m","title":"An efficient threshold-evaluation algorithm for image segmentation based on spatial graylevel co-occurrences","display_name":"An efficient threshold-evaluation algorithm for image segmentation based on spatial graylevel co-occurrences","publication_year":1993,"publication_date":"1993-07-01","ids":{"openalex":"https://openalex.org/W2141560447","doi":"https://doi.org/10.1016/0165-1684(93)90083-m","mag":"2141560447"},"language":"en","primary_location":{"id":"doi:10.1016/0165-1684(93)90083-m","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0165-1684(93)90083-m","pdf_url":null,"source":{"id":"https://openalex.org/S154637859","display_name":"Signal Processing","issn_l":"0165-1684","issn":["0165-1684","1872-7557"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing","raw_type":"journal-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/A5053429054","display_name":"Wen\u2010Nung Lie","orcid":"https://orcid.org/0000-0002-8166-2844"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Nung Lie","raw_affiliation_strings":["Institute of Electrical Engineering, National Tsing Hua University, Hsinchu, 30043 Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Institute of Electrical Engineering, National Tsing Hua University, Hsinchu, 30043 Taiwan, ROC","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5053429054"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":{"value":3200,"currency":"USD","value_usd":3200},"apc_paid":null,"fwci":1.1271,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.82102578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"1","first_page":"121","last_page":"126"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9991000294685364,"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":0.9977999925613403,"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/thresholding","display_name":"Thresholding","score":0.5775668025016785},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5650168061256409},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4691274166107178},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41621631383895874},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3949272334575653},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3816984295845032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32709312438964844}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5775668025016785},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5650168061256409},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4691274166107178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41621631383895874},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3949272334575653},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3816984295845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32709312438964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/0165-1684(93)90083-m","is_oa":false,"landing_page_url":"https://doi.org/10.1016/0165-1684(93)90083-m","pdf_url":null,"source":{"id":"https://openalex.org/S154637859","display_name":"Signal Processing","issn_l":"0165-1684","issn":["0165-1684","1872-7557"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1967156832","https://openalex.org/W1970800786","https://openalex.org/W2026112570","https://openalex.org/W2034539098","https://openalex.org/W2035897321","https://openalex.org/W2051453479","https://openalex.org/W2081590323","https://openalex.org/W2090610626","https://openalex.org/W2091632190","https://openalex.org/W2141358266","https://openalex.org/W6663298220"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2106145857","https://openalex.org/W4377294438","https://openalex.org/W2952127465","https://openalex.org/W2164628286","https://openalex.org/W2028276520"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}