{"id":"https://openalex.org/W2971915485","doi":"https://doi.org/10.1109/ccoms.2019.8821641","title":"Edge Detection Algorithm Based on Texture Blocks","display_name":"Edge Detection Algorithm Based on Texture Blocks","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2971915485","doi":"https://doi.org/10.1109/ccoms.2019.8821641","mag":"2971915485"},"language":"en","primary_location":{"id":"doi:10.1109/ccoms.2019.8821641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821641","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","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/A5027763497","display_name":"Chung\u2010Cheng Chiu","orcid":"https://orcid.org/0000-0001-9729-4778"},"institutions":[{"id":"https://openalex.org/I4210094862","display_name":"National Defense University","ror":"https://ror.org/00hkj1v53","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210094862"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chung-Cheng Chiu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology National Defense University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology National Defense University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I4210094862"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001994097","display_name":"Shou-Cih Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094862","display_name":"National Defense University","ror":"https://ror.org/00hkj1v53","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210094862"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shou-Cih Chen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology National Defense University, Taoyuan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology National Defense University, Taoyuan, Taiwan","institution_ids":["https://openalex.org/I4210094862"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027763497"],"corresponding_institution_ids":["https://openalex.org/I4210094862"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16276276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"256"},"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":0.9973000288009644,"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":0.9973000288009644,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9958999752998352,"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":0.7756023406982422},{"id":"https://openalex.org/keywords/threshold-limit-value","display_name":"Threshold limit value","score":0.6847436428070068},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6289889216423035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6219674944877625},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.610326886177063},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5448375940322876},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5445222854614258},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.49709728360176086},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48787355422973633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47814854979515076},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4454013705253601},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.41513222455978394},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.41312289237976074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33693331480026245},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3287099599838257},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2519356906414032},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.20419663190841675},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1687355935573578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.06201258301734924},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0588819682598114}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7756023406982422},{"id":"https://openalex.org/C64413873","wikidata":"https://www.wikidata.org/wiki/Q21005","display_name":"Threshold limit value","level":2,"score":0.6847436428070068},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6289889216423035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219674944877625},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.610326886177063},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5448375940322876},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5445222854614258},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.49709728360176086},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48787355422973633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47814854979515076},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4454013705253601},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.41513222455978394},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.41312289237976074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33693331480026245},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3287099599838257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2519356906414032},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.20419663190841675},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1687355935573578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.06201258301734924},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0588819682598114},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccoms.2019.8821641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccoms.2019.8821641","pdf_url":null,"source":{"id":"https://openalex.org/S4306498485","display_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2020284619","https://openalex.org/W2084134149","https://openalex.org/W2108729336","https://openalex.org/W2110158442","https://openalex.org/W2145023731","https://openalex.org/W2346755835","https://openalex.org/W3017143921","https://openalex.org/W6676449312"],"related_works":["https://openalex.org/W1994279415","https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W2015446345","https://openalex.org/W2544468271","https://openalex.org/W2392844237","https://openalex.org/W1627617694","https://openalex.org/W2056066761","https://openalex.org/W2359333716","https://openalex.org/W3133151275"],"abstract_inverted_index":{"Traditional":[0],"edge":[1,9,31,76,98,121],"detection":[2,10,99],"algorithms":[3],"affect":[4],"the":[5,8,14,17,21,39,52,72,75,84,87,101,107,112],"performance":[6],"of":[7,16,30,67,86],"results":[11,91],"based":[12],"on":[13],"setting":[15],"threshold":[18,22,40,58,113],"value.":[19,37],"Setting":[20,38],"value":[23,41],"too":[24,42],"high":[25],"may":[26,44],"cause":[27,45],"a":[28,34,65,96],"loss":[29],"texture":[32],"with":[33,95],"smaller":[35],"gradient":[36],"low":[43],"excessive":[46],"noise":[47],"retention.":[48],"To":[49],"effectively":[50],"overcome":[51],"problems":[53,109],"caused":[54,110],"by":[55,70,111],"an":[56],"inappropriate":[57],"setting,":[59,114],"this":[60],"paper":[61],"summarizes":[62],"and":[63,78],"classifies":[64],"series":[66],"textural":[68],"changes":[69,73],"observing":[71],"in":[74],"texture,":[77],"uses":[79],"block":[80],"mode":[81],"to":[82],"assemble":[83],"edges":[85],"construction":[88],"objects.":[89],"Experimental":[90],"show":[92],"that,":[93],"compared":[94],"traditional":[97],"method,":[100],"proposed":[102],"method":[103],"not":[104],"only":[105],"excludes":[106],"possible":[108],"it":[115],"can":[116],"also":[117],"detect":[118],"more":[119],"abundant":[120],"information.":[122]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
