{"id":"https://openalex.org/W2600226311","doi":"https://doi.org/10.1109/ipas.2016.7880136","title":"Dominant and minor sum and difference histograms for texture description","display_name":"Dominant and minor sum and difference histograms for texture description","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2600226311","doi":"https://doi.org/10.1109/ipas.2016.7880136","mag":"2600226311"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2016.7880136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2016.7880136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5013345142","display_name":"Faten Sandi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faten Sandi","raw_affiliation_strings":["National Engineering School of Sousse-ENISO-Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Sousse-ENISO-Tunisia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043900706","display_name":"Ali Douik","orcid":"https://orcid.org/0000-0002-0178-501X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali Douik","raw_affiliation_strings":["National Engineering School of Sousse-ENISO-Tunisia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering School of Sousse-ENISO-Tunisia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5032,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78673127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.996399998664856,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9294000267982483,"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/histogram","display_name":"Histogram","score":0.802396833896637},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.693386971950531},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6746921539306641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6665678024291992},{"id":"https://openalex.org/keywords/minor","display_name":"Minor (academic)","score":0.6395860910415649},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6356784105300903},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6069360375404358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5894634127616882},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5808169841766357},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4663276970386505},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.45415985584259033},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.4318036437034607},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.4139585494995117},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38855957984924316},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3041874170303345},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.19580018520355225}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.802396833896637},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.693386971950531},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6746921539306641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6665678024291992},{"id":"https://openalex.org/C2779760435","wikidata":"https://www.wikidata.org/wiki/Q5396169","display_name":"Minor (academic)","level":2,"score":0.6395860910415649},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6356784105300903},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6069360375404358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5894634127616882},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5808169841766357},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4663276970386505},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.45415985584259033},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.4318036437034607},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.4139585494995117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38855957984924316},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3041874170303345},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.19580018520355225},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas.2016.7880136","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2016.7880136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1532708000","https://openalex.org/W2048800559","https://openalex.org/W2063681017","https://openalex.org/W2066806222","https://openalex.org/W2116227464","https://openalex.org/W2147141800","https://openalex.org/W2159988601","https://openalex.org/W2165480155","https://openalex.org/W2167383966","https://openalex.org/W2182415974","https://openalex.org/W2295854206","https://openalex.org/W2396568140","https://openalex.org/W6684259307"],"related_works":["https://openalex.org/W2166724105","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W2003873690","https://openalex.org/W2165772202","https://openalex.org/W2115502907","https://openalex.org/W2035842265","https://openalex.org/W2359713774","https://openalex.org/W2154859065","https://openalex.org/W2743128629"],"abstract_inverted_index":{"In":[0],"this":[1,44],"paper,":[2],"we":[3],"introduce":[4],"a":[5,46],"new":[6],"color":[7,31],"texture":[8,12,33,40],"operator":[9,103],"for":[10,54],"natural":[11],"classification,":[13],"the":[14,39,50,55,60,66,69,78,84,90,93,101,106],"Dominant":[15],"and":[16,19,32,71,74,92],"Minor":[17],"Sum":[18],"Difference":[20],"Histograms":[21],"(DM-SDH)":[22],"descriptor.":[23],"The":[24,81,96],"proposed":[25,85],"approach":[26],"allows":[27],"to":[28,37,65,76],"incorporate":[29],"both":[30],"information":[34],"in":[35,63],"order":[36],"enhance":[38],"discrimination":[41],"performance.":[42],"For":[43],"purpose,":[45],"vectorial":[47],"representation":[48,62],"of":[49,59,68,83],"image":[51],"is":[52,87],"used":[53],"descriptor":[56,86],"extraction":[57],"instead":[58],"scalar":[61],"addition":[64],"use":[67],"dominant":[70],"minor":[72],"sum":[73],"difference":[75],"encode":[77],"local":[79],"structure.":[80],"performance":[82],"evaluated":[88],"using":[89],"New-BarkTex":[91],"Outex-TC13":[94],"datasets.":[95],"experimental":[97],"results":[98],"show":[99],"that":[100],"DM-SDH":[102],"significantly":[104],"outperforms":[105],"state-of-the-art":[107],"methods.":[108]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
