%0 Conference Proceedings
%T Interactive segmentation by image foresting transform on superpixel graphs
%D 2013
%A Rauber, Paulo Eduardo,
%A Falc„o, Alexandre Xavier,
%A Spina, Thiago Vallin,
%A Rezende, Pedro Jussieu de,
%@affiliation University of Campinas (UNICAMP)
%@affiliation University of Campinas (UNICAMP)
%@affiliation University of Campinas (UNICAMP)
%@affiliation University of Campinas (UNICAMP)
%E Boyer, Kim,
%E Hirata, Nina,
%E Nedel, Luciana,
%E Silva, Claudio,
%B Conference on Graphics, Patterns and Images, 26 (SIBGRAPI)
%C Arequipa, Peru
%8 Aug. 5-8, 2013
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K graph-based image segmentation, image foresting transform, robot users, interactive segmentation.
%X There 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.
%@language en
%3 article_checked.pdf