{"id":"https://openalex.org/W2028933144","doi":"https://doi.org/10.1109/isspa.2003.1224642","title":"Morphological coding of color images by vector connected filters","display_name":"Morphological coding of color images by vector connected filters","publication_year":2003,"publication_date":"2003-01-01","ids":{"openalex":"https://openalex.org/W2028933144","doi":"https://doi.org/10.1109/isspa.2003.1224642","mag":"2028933144"},"language":"en","primary_location":{"id":"doi:10.1109/isspa.2003.1224642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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/A5107538313","display_name":"Jes\u00fas Angulo","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Angulo","raw_affiliation_strings":["Ecole des Mines de Paris, Fontainebleau, France","Centre de Morphologie Math\u00e9matique, Ecole des Mines de Paris, Fontainebleau, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole des Mines de Paris, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]},{"raw_affiliation_string":"Centre de Morphologie Math\u00e9matique, Ecole des Mines de Paris, Fontainebleau, FRANCE","institution_ids":["https://openalex.org/I70768539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111614732","display_name":"J. Serra","orcid":null},"institutions":[{"id":"https://openalex.org/I70768539","display_name":"\u00c9cole Nationale Sup\u00e9rieure des Mines de Paris","ror":"https://ror.org/04y8cs423","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I70768539"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Serra","raw_affiliation_strings":["Ecole des Mines de Paris, Fontainebleau, France","Centre de Morphologie Math\u00e9matique, Ecole des Mines de Paris, Fontainebleau, FRANCE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ecole des Mines de Paris, Fontainebleau, France","institution_ids":["https://openalex.org/I70768539"]},{"raw_affiliation_string":"Centre de Morphologie Math\u00e9matique, Ecole des Mines de Paris, Fontainebleau, FRANCE","institution_ids":["https://openalex.org/I70768539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I70768539"],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.73265428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"72 vol.1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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"}},"topics":[{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10688","display_name":"Image and Signal Denoising Methods","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"}},{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":0.9955999851226807,"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/rgb-color-model","display_name":"RGB color model","score":0.7798776626586914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7240453958511353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.700674831867218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6306198239326477},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.5958630442619324},{"id":"https://openalex.org/keywords/color-coding","display_name":"Color-coding","score":0.5885908007621765},{"id":"https://openalex.org/keywords/color-quantization","display_name":"Color quantization","score":0.5774860382080078},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5559515953063965},{"id":"https://openalex.org/keywords/hsl-and-hsv","display_name":"HSL and HSV","score":0.5443621873855591},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.5238692164421082},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5203680396080017},{"id":"https://openalex.org/keywords/lexicographical-order","display_name":"Lexicographical order","score":0.4922458231449127},{"id":"https://openalex.org/keywords/high-color","display_name":"High color","score":0.47499027848243713},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.46567222476005554},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.4586387574672699},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.44024741649627686},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.4372013211250305},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38579943776130676},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.325381338596344},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28717556595802307},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24465900659561157},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12731707096099854}],"concepts":[{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7798776626586914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7240453958511353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.700674831867218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6306198239326477},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.5958630442619324},{"id":"https://openalex.org/C104597421","wikidata":"https://www.wikidata.org/wiki/Q5148529","display_name":"Color-coding","level":2,"score":0.5885908007621765},{"id":"https://openalex.org/C173752661","wikidata":"https://www.wikidata.org/wiki/Q1396414","display_name":"Color quantization","level":5,"score":0.5774860382080078},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5559515953063965},{"id":"https://openalex.org/C36372059","wikidata":"https://www.wikidata.org/wiki/Q376492","display_name":"HSL and HSV","level":3,"score":0.5443621873855591},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.5238692164421082},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5203680396080017},{"id":"https://openalex.org/C159254197","wikidata":"https://www.wikidata.org/wiki/Q1144915","display_name":"Lexicographical order","level":2,"score":0.4922458231449127},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.47499027848243713},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.46567222476005554},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.4586387574672699},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.44024741649627686},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.4372013211250305},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38579943776130676},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.325381338596344},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28717556595802307},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24465900659561157},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12731707096099854},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.0},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2522874641","wikidata":"https://www.wikidata.org/wiki/Q808","display_name":"Virus","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspa.2003.1224642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspa.2003.1224642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","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/W1585255549","https://openalex.org/W1968308204","https://openalex.org/W1990073712","https://openalex.org/W2082016105","https://openalex.org/W2113293674","https://openalex.org/W2146288300","https://openalex.org/W2162587881","https://openalex.org/W2164741953","https://openalex.org/W2914459806","https://openalex.org/W2964775097","https://openalex.org/W4285719527","https://openalex.org/W6676786335","https://openalex.org/W6759590101","https://openalex.org/W6766243844"],"related_works":["https://openalex.org/W2809734899","https://openalex.org/W2216907995","https://openalex.org/W1529660338","https://openalex.org/W3011488731","https://openalex.org/W2356457712","https://openalex.org/W3035384921","https://openalex.org/W2078566741","https://openalex.org/W2016766458","https://openalex.org/W2153508267","https://openalex.org/W2371889927"],"abstract_inverted_index":{"This":[0,14],"paper":[1],"deals":[2],"with":[3],"the":[4,7,24,27,31,60,74,77,93],"use":[5],"of":[6,16,26,95],"vector":[8],"levelings":[9],"for":[10,69,91],"coding":[11],"color":[12,32,40,61,79,96],"images.":[13,97],"class":[15],"morphological":[17],"connected":[18],"filters":[19,82],"suppresses":[20],"details":[21],"but":[22],"preserves":[23],"contours":[25],"remaining":[28],"objects.":[29],"If":[30],"images":[33],"are":[34],"filtered":[35],"by":[36],"independently":[37],"leveling":[38],"each":[39],"component,":[41],"new":[42],"colors":[43],"may":[44],"be":[45,57,84],"introduced.":[46],"In":[47],"order":[48,55],"to":[49],"avoid":[50],"this":[51],"drawback,":[52],"a":[53,88],"total":[54],"must":[56],"imposed":[58],"on":[59],"vectors.":[62],"A":[63],"comparative":[64],"study":[65],"has":[66],"been":[67],"drawn":[68],"various":[70],"lexicographical":[71],"orders":[72],"in":[73],"RGB":[75],"and":[76],"HLS":[78],"systems.":[80],"These":[81],"can":[83],"especially":[85],"useful":[86],"as":[87],"preprocessing":[89],"step":[90],"improving":[92],"compression":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
