{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T14:37:51Z","timestamp":1774017471369,"version":"3.50.1"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2016,3,30]],"date-time":"2016-03-30T00:00:00Z","timestamp":1459296000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>In astronomy, sky surveys contain a large number of light-emitting sources, often with intensities\nclose to the noise level. Automatic extraction of astronomical objects is therefore needed. SExtractor is\na widely used program for automated source extraction and cataloguing, but it is not optimal with faint extended\nsources. Using SExtractor as a reference, the paper describes an improvement of a previous method\nproposed by the authors. It is a Max-Tree-based method for extraction of faint extended sources without using\na stronger image smoothing. The Max-Tree structure is a hierarchical representation of an image, in which attributes\ncan be computed in every node. Object detection is performed on the nodes of the tree and it relies on\nthe distribution of a statistic calculated using the power attribute, compared to the expected distribution in\ncase of noise. Statistical tests are presented, a comparison with the object extraction of SExtractor is shown\nand results are discussed.<\/jats:p>","DOI":"10.1515\/mathm-2016-0006","type":"journal-article","created":{"date-parts":[[2016,4,9]],"date-time":"2016-04-09T01:35:05Z","timestamp":1460165705000},"source":"Crossref","is-referenced-by-count":24,"title":["Statistical attribute filtering to detect faint\nextended astronomical sources"],"prefix":"10.1515","volume":"1","author":[{"given":"Paul","family":"Teeninga","sequence":"first","affiliation":[{"name":"Johann Bernoulli Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ugo","family":"Moschini","sequence":"additional","affiliation":[{"name":"Johann Bernoulli Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Scott C.","family":"Trager","sequence":"additional","affiliation":[{"name":"Kapteyn Astronomical Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michael H.F.","family":"Wilkinson","sequence":"additional","affiliation":[{"name":"Johann Bernoulli Institute"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2016,3,30]]},"container-title":["Mathematical Morphology - Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/mathm.2016.1.issue-1\/mathm-2016-0006\/mathm-2016-0006.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/mathm-2016-0006\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/mathm-2016-0006\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T10:20:07Z","timestamp":1651054807000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/mathm-2016-0006\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,30]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,3,30]]}},"alternative-id":["10.1515\/mathm-2016-0006"],"URL":"https:\/\/doi.org\/10.1515\/mathm-2016-0006","relation":{},"ISSN":["2353-3390"],"issn-type":[{"value":"2353-3390","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,30]]}}}