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Stroke Extraction in Cartoon Images Using Edge-Enhanced Isotropic Nonlinear Filter
Mengcheng Huang1; Yang, Meng1; Liuy, Fang1,3; Wuz, En-Hua1,2
2010
Conference NameVRCAI '10: the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Source PublicationProceedings - VRCAI 2010, ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Application to Industry
Pages33-38
Conference DateDecember 12 - 13, 2010
Conference PlaceSeoul, South Korea
Author of SourceAssociation for Computing Machinery
Abstract

This paper presents an edge-enhanced isotropic nonlinear filter to extract strokes from cartoon images. The algorithm starts by removing most non-stroke regions that have high brightness values using an adaptive threshold. According to the property of dark outline in cartoon images, A Laplacian of Gaussian filter is applied to enhance the isotropic responses of boundary pixels in the stroke. Compared to existing stroke extraction methods, our algorithm can extract strokes in its entirety, and faithfully preserve the details on the stroke boundaries, especially for noisy images. Experimental results show that the proposed algorithm can produce more robust and accurate extraction results on a variety style of cartoon images. 

KeywordCurvilinear Structures Cartoon Images Stroke Extraction Isotropic Nonlinear Filter Laplacian Of Gaussian Filter
DOIhttps://doi.org/10.1145/1900179.1900186
Language英语
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Document TypeConference paper
CollectionFaculty of Science and Technology
Affiliation1.Institute of Software, Chinese Academy of Sciencesz, China;
2.University of Macau, China;
3.SuperComputing Center, Computer Network Information Center, Chinese Academy of Sciences, China
Recommended Citation
GB/T 7714
Mengcheng Huang,Yang, Meng,Liuy, Fang,et al. Stroke Extraction in Cartoon Images Using Edge-Enhanced Isotropic Nonlinear Filter[C]//Association for Computing Machinery,2010:33-38.
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