Variational Image Segmentation Models and Algorithms

  1. Pattern Recognition (PR) (Image segmentation beyond Chan-Vese framework)
    "A Variational Model with Hybrid Images Data Fitting Energies for Segmentation of Images with Intensity Inhomogeneity", by Haider Ali, Noor Badshah, Ke Chen and Gulzar A. Khan, Pattern Recognition, Vol 51 (2016) pp. 27-42.
    [Download Local PDF]
  2. IEEE Transactions on Medical Imaging (Image segmenttion and new model)
    ``Automated Retinal Vessel Segmentation Using Infinite Perimeter Active Contour Model with Hybrid Reg ion Information", by Yitian Zhao, Lavdie Rada, Ke Chen, Simon P Harding and Yalin Zheng, IEEE Trans. Medical Imaging, to appear (2015)
  3. Numerical Algorithms (New 3D image segmentation model)
    ``A variational model and its numerical solution for local, selective and automatic segmentation", by L. Rada and K. Chen Vol 66 (2), pp 399-430, 2014. DOI 10.1007/s11075-013-9741-8
  4. Communications in Mathematical Sciences (Image segmentation, new local model)
    "A Convex and Selective Variational Model for Image Segmentation", by Jack Spencer and Ke Chen, to appear [See Local PDF]
  5. International Journal of Computer Mathematics (Image segmentation, 3D local model)
    "A Fast Algorithm for Automatic Segmentation and Extraction of A Single Object By Active Surfaces", by J P Zhang, Ke Chen and D Gould, by J P Zhang, Ke Chen and D Gould, Vol 92 (6), pp.1251-1274, 2015. DOI:10.1080/00207160.2014.931943 [See Local PDF]
  6. Inverse Problems and Imaging (IPI) (Variational model, image segmentation)
    "A Local Information Based Variational Model for Selective Image Segmentation", by Jianping Zhang, Ke Chen, Bo Yu and Derek Gould, vol. 8 (1), pp. 293-320, 2014. [See Local PDF]
  7. Journal of Mathematical Research with Applications (Selective segmentation, Variational model)
    On a Variational Model for Selective Image Segmentation of Features with Infinite Perimeter, by L Rada and Ke Chen, Vol 33 (3), pp.253-272, 2013. [See Local PDF]
  8. Biomedical Signal Processing and Control (Texture segmentation, Variational model)
    "A general model for multiphase texture segmentation and its applications to retinal image analysis", by Yalin Zheng and Ke Chen, 2013, to appear. [See Local PDF]
  9. East Asian Journal on Applied Mathematics (Inverse problems, Image Segmentation)
    "Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours", by Noor Badshah, Ke Chen, Haider Ali and Ghulam Murtaza, Vol 2 (2012), pp. 150-169. [See JNL PDF or Local PDF]
  10. ISRN Signal Processing (open access journal) (Inverse problems, Texture Image Segmentation)
    "A Hierarchical Algorithm for Multiphase Texture Image Segmentation", by Yalin Zheng and Ke Chen, 2012. [See PDF file]
  11. International Journal of Computer Mathematics (Inverse problems, Image Segmentation)
    "A Multigrid Algorithm for the 3D Chan-Vese Model of Variational Image Segmentation", by J P Zhang, Ke Chen and Bo Yu, Vol 89 (2), 2012, pp.160-189. [LOCAL PDF]
  12. Communications in Computational Physics (CiCP), (Inverse problems, Image Segmentation)
    "A New Variational Model with Dual Level Set Functions for Selective Segmentation", Ladi Rada and Ke Chen, Vol 12(1), pp.261-283 (2012) [LOCAL PDF]
  13. Communications in Computational Physics (CiCP), (Inverse problems, Image Segmentation)
    ``Image Selective Segmentation under Geometrical Constraints Using an Active Contour Approach'', by Noor Badshah and Ke Chen, Vol. 7 (2010), pp. 759-778. [LOCAL PDF]
  14. IEEE Transactions on Image Processing (Inverse problems, Variational Image Segmentation)
    On Two Multigrid Algorithms for Modelling Variational Multiphase Image Segmentation, by Noor Badshah and Ke Chen, Vol. 18(5), pp.1097-1106. [See Paper (pdf in gz)]
  15. Communications in Computational Physics (CiCP) (Inverse problems, Variational Image Segmentation)
    Multigrid Method for the Chan-Vese Model in Variational Segmentation, by Noor Badshah and Ke Chen Vol.4 (2), pp.294-316. [Download     Abstract and Paper (pdf in gz)]

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