Reference TypeConference Proceedings
Citation KeyRauberFalcSpinReze:2013:InSeIm
Author1 Rauber, Paulo Eduardo
2 Falc„o, Alexandre Xavier
3 Spina, Thiago Vallin
4 Rezende, Pedro Jussieu de
Affiliation1 University of Campinas (UNICAMP)
2 University of Campinas (UNICAMP)
3 University of Campinas (UNICAMP)
4 University of Campinas (UNICAMP)
TitleInteractive segmentation by image foresting transform on superpixel graphs
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Book TitleProceedings
DateAug. 5-8, 2013
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationArequipa, Peru
Keywordsgraph-based image segmentation, image foresting transform, robot users, interactive segmentation.
AbstractThere are many scenarios in which user interaction is essential for effective image segmentation. In this paper, we present a new interactive segmentation method based on the Image Foresting Transform (IFT). The method oversegments the input image, creates a graph based on these segments (superpixels), receives markers (labels) drawn by the user on some superpixels and organizes a competition to label every pixel in the image. Our method has several interesting properties: it is effective, efficient, capable of segmenting multiple objects in almost linear time on the number of superpixels, readily extendable through previously published techniques, and benefits from domain-specific feature extraction. We also present a comparison with another technique based on the IFT, which can be seen as its pixel-based counterpart. Another contribution of this paper is the description of automatic (robot) users. Given a ground truth image, these robots simulate interactive segmentation by trained and untrained users, reducing the costs and biases involved in comparing segmentation techniques.
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Last Update2013:
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