Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/104580
Title: Interactive segmentation of multiple images
Authors: Law, Y.N.
Lee, H.K.
Ng, M.K.
Yip, A.M. 
Keywords: Bioimage segmentation
Image segmentation
Interactive
Microscopy images
Multiple images
Issue Date: 2011
Citation: Law, Y.N.,Lee, H.K.,Ng, M.K.,Yip, A.M. (2011). Interactive segmentation of multiple images. Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 2 : 571-575. ScholarBank@NUS Repository.
Abstract: In this paper, we propose an optimization model for interactive segmentation of multiple images. The user marks some sample pixels or objects in one or more images. Then, the method employs the samples as strong priors to automatically segment other input images. A good feature of the method is that the segmentation is highly controllable by the user, so that the user can easily obtain the kind of objects that he/she wants. The approach is especially effective for segmentation of a large collection of images that share similar features, where the user inputs some samples once and for all. We demonstrate the usefulness of the model to the segmentation of various collections of bioimages.
Source Title: Proceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
URI: http://scholarbank.nus.edu.sg/handle/10635/104580
ISBN: 9781601321916
Appears in Collections:Staff Publications

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