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		<citationkey>AlencarJúniorGomeQuei:2013:ApNoRe</citationkey>
		<author>Alencar Júnior, João Bosco de Oliveira,</author>
		<author>Gomes, Herman Martins,</author>
		<author>de Queiroz, José Eustáquio Rangel,</author>
		<affiliation>Federal University of Campina Grande</affiliation>
		<affiliation>Federal University of Campina Grande</affiliation>
		<affiliation>Federal University of Campina Grande</affiliation>
		<title>An Approach for Non-Photorealistic Rendering that is Appealing to Human Viewers</title>
		<conferencename>Conference on Graphics, Patterns and Images, 26 (SIBGRAPI)</conferencename>
		<year>2013</year>
		<editor>Boyer, Kim,</editor>
		<editor>Hirata, Nina,</editor>
		<editor>Nedel, Luciana,</editor>
		<editor>Silva, Claudio,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Aug. 5-8, 2013</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Arequipa, Peru</conferencelocation>
		<keywords>region smoothing, edge detection, non-photorealistic rendering, experimental evaluation.</keywords>
		<abstract>Non-photorealistic rendering is common to both Computer Graphics and Digital Image Processing, and encompasses a broad class of techniques for creating artistic images from scenes, geometric models or photographic images.  In this context,  this  paper presents a framework designed to generate cartoon-like abstracted images, which combines techniques for region smoothing and segmentation, edge detection, adjustment of brightness/saturation and color harmonization. A subjective evaluation involving the output of related work was performed. Additionally, an experimental study involving human evaluators was conducted, in which the proposed approach was compared with five existing tools for image cartoonization. Statistical  analysis performed on experimental data from one-way (1-F) ANOVA and Tukey-Kramer tests revealed significant differences in preference between results created by the proposed approach and those created by the competing approaches.</abstract>
		<language>en</language>
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