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Type: Artigo de evento
Title: Interactive Segmentation By Image Foresting Transform On Superpixel Graphs
Author: Rauber P.E.
Falcao A.X.
Spina T.V.
De Rezende P.J.
Abstract: 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 over segments the input image, creates a graph based on these segments (super pixels), receives markers (labels) drawn by the user on some super pixels 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 super pixels, 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. © 2013 IEEE.
Rights: fechado
Identifier DOI: 10.1109/SIBGRAPI.2013.27
Date Issue: 2013
Appears in Collections:Unicamp - Artigos e Outros Documentos

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