{"id":{"repo_id":"unlv","oai_identifier":"oai:oasis.library.unlv.edu:rtds-2049"},"canonical_url":"https://search.dev.ndltd.org/etd/unlv/oai:oasis.library.unlv.edu:rtds-2049","repository":{"repo_id":"unlv","name":"University of Nevada - Las Vegas","base_url":"https://oasis.library.unlv.edu/do/oai/"},"display":{"title":"Classification of galaxies using fractal dimensions","abstract":"The classification of galaxies is morphological. Shapes of the galaxies range from the very simple (e.g. elliptical galaxies) to the highly complex (e.g. irregular galaxies). Analyzing a measure of complexity for such shapes could lead to automatic classification. Fractal dimension, a quantity related to the complexity of a given shape, could be such a measure. Capacity dimension and correlation dimension are two of the several types of fractal dimensions. In this project, correlation dimensions and the capacity dimensions of the contours generated around different intensity levels of the galaxy images, versus the intensity levels were computed. It was found that elliptical galaxies tend to have a lower value of the average correlation dimension (computed for a selected range of intensity levels) than spirals.","abstract_html":"The classification of galaxies is morphological. Shapes of the galaxies range from the very simple (e.g. elliptical galaxies) to the highly complex (e.g. irregular galaxies). Analyzing a measure of complexity for such shapes could lead to automatic classification. Fractal dimension, a quantity related to the complexity of a given shape, could be such a measure. Capacity dimension and correlation dimension are two of the several types of fractal dimensions. In this project, correlation dimensions and the capacity dimensions of the contours generated around different intensity levels of the galaxy images, versus the intensity levels were computed. It was found that elliptical galaxies tend to have a lower value of the average correlation dimension (computed for a selected range of intensity levels) than spirals.","abstract_has_math":false,"creators":["Thanki, Sandip G"],"institution":"University of Nevada, Las Vegas","degree_name":"Master of Science (MS)","degree_level":"Thesis","degree_discipline":"Physics","degree_department":null,"school":null,"contributors":["George Rhee"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999-01-01T08:00:00Z","date_published":"1999-01-01T08:00:00Z","updated_at":"2026-07-24T05:25:04Z","subjects":[],"languages":["English"],"rights":["IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://oasis.library.unlv.edu/rtds/1050"],"render_values":[{"text":"https://oasis.library.unlv.edu/rtds/1050","href":"https://oasis.library.unlv.edu/rtds/1050","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.25669/8msa-x9b8","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["George Rhee"]},{"key":"dc:creator","label":"Author","values":["Thanki, Sandip G"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:publisher","label":"Institution","values":["University of Nevada, Las Vegas"]},{"key":"dc:type","label":"Dc Type","values":["Text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Physics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]},{"key":"dc:rights","label":"Dc Rights","values":["IN COPYRIGHT. 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In this project, correlation dimensions and the capacity dimensions of the contours generated around different intensity levels of the galaxy images, versus the intensity levels were computed. It was found that elliptical galaxies tend to have a lower value of the average correlation dimension (computed for a selected range of intensity levels) than spirals."]},{"key":"dc:format","label":"Dc Format","values":["pdf"]},{"key":"dc:title","label":"Title","values":["Classification of galaxies using fractal dimensions"]}]}],"canonical_facts":{"dc:contributor":["George Rhee"],"dc:creator":["Thanki, Sandip G"],"dc:description.abstract":["The classification of galaxies is morphological. Shapes of the galaxies range from the very simple (e.g. elliptical galaxies) to the highly complex (e.g. irregular galaxies). Analyzing a measure of complexity for such shapes could lead to automatic classification. Fractal dimension, a quantity related to the complexity of a given shape, could be such a measure. Capacity dimension and correlation dimension are two of the several types of fractal dimensions. In this project, correlation dimensions and the capacity dimensions of the contours generated around different intensity levels of the galaxy images, versus the intensity levels were computed. It was found that elliptical galaxies tend to have a lower value of the average correlation dimension (computed for a selected range of intensity levels) than spirals."],"dc:format":["pdf"],"dc:identifier":["10.25669/8msa-x9b8","https://oasis.library.unlv.edu/rtds/1050","https://oasis.library.unlv.edu/context/rtds/article/2049/viewcontent/uc.pdf"],"dc:language":["English"],"dc:publisher":["University of Nevada, Las Vegas"],"dc:rights":["IN COPYRIGHT. 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