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		<identifier>8JMKD3MGPBW34M/3DJ54F2</identifier>
		<repository>sid.inpe.br/sibgrapi/2013/02.16.23.33</repository>
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		<site>sibgrapi.sid.inpe.br 802</site>
		<isbn>978-85-7669-273-7</isbn>
		<citationkey>BragaNeto:1995:AdAlSe</citationkey>
		<author>Braga Neto, Ulisses de Mendonça,</author>
		<affiliation>Laboratório de Reconhecimento de Padrões do Departamento de Eletrônica de Sistemas da Universidade Federal de Pernambuco (UFPE)</affiliation>
		<title>Adaptive alternating sequencial filters</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)</conferencename>
		<year>1995</year>
		<editor>Lotufo, Roberto de Alencar,</editor>
		<editor>Mascarenhas, Nelson Delfino d'Ávila,</editor>
		<booktitle>Anais</booktitle>
		<date>25 - 27 out. 1995</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>São Carlos</conferencelocation>
		<keywords>Morphological filtering, Mathematical Morphology, image processing.</keywords>
		<abstract>Morphological filtering is a very important branch of Mathematical Morphology, where theoretical advances are made and new useful practical applications are discovered at a fast pace. On the other hand, adaptive-neighborhood techniques have been utilized with success for some time in the image processing field. In this work we propose the extension of a well-known class of morphological filters, the Alternating Sequential Filters (ASFs), to include the paradigm of adaptive-neighborhood image processing, leading to what we have called the Adaptive Alternating Sequential Filters (AASFs). By using synthetic and real images to which Gaussian noise was added, we demonstrate the better performance of the open-close and close-open AASFs against the correspondent ASFs, both from a quantitative and qualitative point of view.</abstract>
		<pages>35-42</pages>
		<language>en</language>
		<type>Morfologia Matemática</type>
		<tertiarytype>Artigo</tertiarytype>
		<format>Impresso, On-line.</format>
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		<targetfile>4 Adaptive alternating sequential filters.pdf</targetfile>
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