{"version":1,"kind":"Article","sha256":"","slug":"777","location":"","dependencies":[],"doi":"10.54294/ks50of","thumbnail":"https://pub.desci.com/ipfs/bafkreicteghiw25in4hxdiwn6bs3ms6qegi4owvgakphcmf6rs34cxim6m","frontmatter":{"title":"Interactive Image Graph Cut Segmentation","abstract":"This document presents a system to \"scribble\" on an image to mark foreground and background pixels and then feed these pixels to a graph cuts segmentation technique. The interaction is done using the Visualization Toolkit and the processing is done using the Insight Toolkit. The graph cut function itself is the maxflow-v2.21 algorithm written by Yuri Boykov and Vladimir Kolmogorov. This version of their algorithm is released under a GPL license. \n\nThe code for this paper can be found here: \nhttps://github.com/daviddoria/InteractiveImageGraphCutSegmentation/commit/259cd239169c5ea8c44cc68908886eca10cc8239\n\nUpdates will be published here: https://github.com/daviddoria/InteractiveImageGraphCutSegmentation\n\nNote: You must use the latest git version of VTK as of the date of this publication to avoid compiler errors due to newly added functions.","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["scribble","interactive segmentation","segmentation","graph cuts"],"authors":[{"name":"Doria, David","email":"daviddoria@gmail.com","affiliations":["Rensselaer Polytechnic Institute"],"corresponding":true},{"name":"Chen, Siqi","affiliations":[]}],"date_submitted":"2010-11-29 13:51:07","external_publication_id":777,"revision_cids":["bafkreidrpdz7nhzvwopfkc3j6qjcvoax5rzm6i77af7kmc6yxy3hj4uiwq"],"thumbnail":"https://pub.desci.com/ipfs/bafkreicteghiw25in4hxdiwn6bs3ms6qegi4owvgakphcmf6rs34cxim6m"},"mdast":{"type":"root"},"downloads":[{"url":"https://ipfs.desci.com/ipfs/bafkreidbnbfgmitaxlekte7tzzqnzlf47jyrsckfsiiyomo3qzyub2oj2q","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":3294,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreicxjccicvsgkya7tyf7dutp225fqdcbdvxowhdzq4tceld4oth6xm","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":416469,"type":"file"}}],"references":{"cite":{"order":["ref1"]},"data":{"ref1":{"label":"ref1","enumerator":"1","html":"International Journal of Computer Vision 2006 1+2+1+Yuri Boykov+Efficient N-D Image"}}}}