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		<identifier>8JMKD3MGPBW34M/3D8K6JB</identifier>
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		<isbn>978-85-7669-271-3</isbn>
		<citationkey>ErthalFrer:1993:InAmSP</citationkey>
		<author>Erthal, Guaraci José,</author>
		<author>Frery, Alejandro César,</author>
		<affiliation>Divisão de Processamento de Imagens (DPI) do Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Divisão de Processamento de Imagens (DPI) do Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<title>Segmentação de imagens multiespectrais pelo algoritmo ICM: integração ao ambiente SPRING</title>
		<conferencename>Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)</conferencename>
		<year>1993</year>
		<editor>Figueiredo, Luiz Henrique de,</editor>
		<editor>Gomes, Jonas de Miranda,</editor>
		<volume>2</volume>
		<booktitle>Anais</booktitle>
		<date>19 - 22 out. 1993</date>
		<publisheraddress>Porto Alegre</publisheraddress>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<conferencelocation>Recife</conferencelocation>
		<keywords>segmentação de imagens, imagens multiespectrais, algoritmo ICM, ambiente SPRING, Iterated Conditional Modes.</keywords>
		<abstract>We present a derivation and an implementation of the ICM (Iterated Conditional Modes) algorithm for the K-ary segmentation of images. The ICM algorithm is based on the modeling of the a priori distribution under the Markov Random Fields framework. The algorithm is integrated within an user-friendly Geographic Informations System: the SPRING. The obtained results with optical and synthetic aperture radar images display a significant improvement with respect to the incorporation of the spatial context.</abstract>
		<pages>33-36</pages>
		<language>pt</language>
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