Morphological shape decomposition interframe interpolation method

One of the main image representations in mathematical morphology is the shape decomposition representation, useful for image compression and pattern recognition. The morphological shape decomposition representation can be generalized to extend the scope of its algebraic characteristics as much as possible. With these generalizations, the morphological shape decomposition (MSD) role to serve as an efficient image decomposition tool is extended to interpolation of images. We address the binary and grayscale interframe interpolation by means of generalized morphological shape decomposition. Computer simulations illustrate the results.

[1]  Jayaram K. Udupa,et al.  Shape-based interpolation of multidimensional grey-level images , 1996, IEEE Trans. Medical Imaging.

[2]  William A. Barrett,et al.  Optical flow interpolation of serial slice images , 1993 .

[3]  William E. Higgins,et al.  Shape-based interpolation of tree-like structures in three-dimensional images , 1993, IEEE Trans. Medical Imaging.

[4]  Bernard Mazoyer,et al.  Three-dimensional segmentation and interpolation of magnetic resonance brain images , 1993, IEEE Trans. Medical Imaging.

[5]  Chin-Tu Chen,et al.  Intensity interpolation for reconstructing 3-D medical images from serial cross-sections , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[6]  Ioannis Pitas,et al.  Shape-based interpolation using morphological morphing , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[7]  Stephen M. Pizer,et al.  Object-based interpolation via cores , 1994, Medical Imaging.

[8]  J F Guo,et al.  Morphology-based interpolation for 3D medical image reconstruction. , 1995, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[9]  Chin-Tu Chen,et al.  Intensity interpolation for branching in reconstructing three-dimensional objects from serial cross-sections , 1991, Medical Imaging.

[10]  S. Y. Chen,et al.  Improvement on dynamic elastic interpolation technique for reconstructing 3-D objects from serial cross sections [biomedical application]. , 1990, IEEE transactions on medical imaging.

[11]  Mehran Moshfeghi,et al.  Directional interpolation for magnetic resonance angiography data , 1993, IEEE Trans. Medical Imaging.

[12]  Ioannis Pitas,et al.  Binary morphological shape-based interpolation applied to 3-D tooth reconstruction , 2002, IEEE Transactions on Medical Imaging.

[13]  Thaddeus Beier,et al.  Feature-based image metamorphosis , 1992, SIGGRAPH.

[14]  Stephen M. Pizer,et al.  Robust object representation through object-relevant use of scale , 1994, Medical Imaging.

[15]  Ioannis Pitas,et al.  Virtual Drilling in 3-D Objects Reconstructed by Shape-Based Interpolation , 2001, IWVF.

[16]  Ioannis Pitas,et al.  Interpolation of 3-D binary images based on morphological skeletonization , 2000, IEEE Transactions on Medical Imaging.

[17]  David Malah,et al.  Multi-Parameter Skeleton Decomposition , 1994, ISMM.

[18]  C T Chen,et al.  Automated surface interpolation technique for 3-D object reconstruction from serial cross sections. , 1991, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[19]  Henry Fuchs,et al.  Optimal surface reconstruction from planar contours , 1977, CACM.

[20]  A. Ardeshir Goshtasby,et al.  Matching of tomographic slices for interpolation , 1992, IEEE Trans. Medical Imaging.

[21]  William E. Higgins,et al.  Nonlinear filtering approach to 3-D gray-scale image interpolation , 1996, IEEE Trans. Medical Imaging.

[22]  Serge Beucher,et al.  Sets, partitions and functions interpolations , 1998 .

[23]  Max A. Viergever,et al.  Registration-based interpolation , 2004, IEEE Transactions on Medical Imaging.

[24]  Bin Luo,et al.  Slice interpolation using the distance transform and morphing , 1997, Proceedings of 13th International Conference on Digital Signal Processing.

[25]  Jean Paul Frédéric Serra,et al.  Morphological interpolation and color images , 1999, Proceedings 10th International Conference on Image Analysis and Processing.

[26]  R. Keys.  Cubic convolution interpolation for digital image processing , 1981 .

[27]  Carolyn A. Bucholtz,et al.  Shape-based interpolation , 1992, IEEE Computer Graphics and Applications.

[28]  C T Chen,et al.  Dynamic elastic interpolation for 3D medical image reconstruction from serial cross sections. , 1988, IEEE transactions on medical imaging.

[29]  Chao-Hung Lin,et al.  Feature-guided shape-based image interpolation , 2002, IEEE Transactions on Medical Imaging.

[30]  Y. H. Liu,et al.  Edge-shrinking interpolation for medical images. , 1997, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[31]  Priya N. Werahera,et al.  A 3-D reconstruction algorithm for interpolation and extrapolation of planar cross sectional data , 1995, IEEE Trans. Medical Imaging.

[32]  Daniel Cohen-Or,et al.  Three-dimensional distance field metamorphosis , 1998, TOGS.

[33]  Tong-Yee Lee,et al.  Morphology-based Three-dimensional Interpolation , 2000, IEEE Trans. Medical Imaging.

[34]  J. Udupa,et al.  Shape-based interpolation of multidimensional objects. , 1990, IEEE transactions on medical imaging.

[35]  G. Herman,et al.  The use of three-dimensional computer display in the study of disk disease. , 1980, Journal of computer assisted tomography.