Interactive Segmentation of Multiple Images

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.

[1]  Michael K. Ng,et al.  Numerical methods for interactive multiple‐class image segmentation problems , 2010, Int. J. Imaging Syst. Technol..

[2]  B. S. Manjunath,et al.  A biosegmentation benchmark for evaluation of bioimage analysis methods , 2009, BMC Bioinformatics.

[3]  Jian Guan,et al.  Modeling User Feedback Using a Hierarchical Graphical Model for Interactive Image Retrieval , 2007, PCM.

[4]  François Pitié,et al.  Automated colour grading using colour distribution transfer , 2007, Comput. Vis. Image Underst..

[5]  Guoping Qiu,et al.  Interactive Image Segmentation using Optimization with Statistical Priors , 2006 .

[6]  Guoping Qiu,et al.  Interactive Image Matting using Optimization , 2006 .

[7]  Michael F. Cohen,et al.  An iterative optimization approach for unified image segmentation and matting , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[8]  Vladimir Kolmogorov,et al.  "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..

[9]  Max A. Viergever,et al.  Ridge-based vessel segmentation in color images of the retina , 2004, IEEE Transactions on Medical Imaging.

[10]  Vladimir Kolmogorov,et al.  An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision , 2001, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Jianbo Shi,et al.  Segmentation given partial grouping constraints , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.