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		<citationkey>OrtigossaDiasUeyaNona:2015:UsDiIm</citationkey>
		<title>Using digital image processing to estimate the depth of urban streams</title>
		<format>On-line</format>
		<year>2015</year>
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		<author>Ortigossa, Evandro Scudeleti,</author>
		<author>Dias, Fábio,</author>
		<author>Ueyama, Jó,</author>
		<author>Nonato, Luis Gustavo,</author>
		<affiliation>University of São Paulo</affiliation>
		<affiliation>University of São Paulo</affiliation>
		<affiliation>University of São Paulo</affiliation>
		<affiliation>University of São Paulo</affiliation>
		<editor>Vieira, Thales Miranda de Almeida,</editor>
		<editor>Mello, Vinicius Moreira,</editor>
		<e-mailaddress>evortigosa@usp.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 28 (SIBGRAPI)</conferencename>
		<conferencelocation>Salvador, BA, Brazil</conferencelocation>
		<date>26-29 Aug. 2015</date>
		<publisher>Sociedade Brasileira de Computação</publisher>
		<publisheraddress>Porto Alegre</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Undergraduate Work</tertiarytype>
		<transferableflag>1</transferableflag>
		<keywords>monitoring, floods, digital image processing, water level.</keywords>
		<abstract>The urbanization process can present some challenges, such as dealing with the effects of many natural phenomena. In particular, floods can turn into dangerous events. This paper introduces an algorithm to detect and estimate the water level of an urban stream. Using cameras and well defined image processing techniques, we analyze several images of a real stream, aiming at finding the water depth, with encouraging results. Our approach differs from more traditional measurement methods, where specialized equipment are considered, which must be directly inserted on the measurement spot. Through a validation using real images, we demonstrate that our method is a viable alternative to estimate the water level, using cheaper and generic hardware.</abstract>
		<language>en</language>
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