Abstract
A central paradigm in mathematical morphology is the decomposition (representation) of complete lattice operators (mappings) in terms of four classes of elementary operators: dilations, erosions, anti-dilations and anti-erosions. The rules for performing these representations can be described as a formal language, the morphological language [4]. The vocabulary of this language is composed of the four classes of elementary operators and the lattice operations of intersection and union. A phrase of the morphological language is called a morphological operator.
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References
J. T. Astola and P. Kuosmanen. Representation and optimization of stack filters. In E. R. Dougherty and J. T. Astola, editors, Nonlinear Filters for Image Processing, pages 237–279. SPIE and IEEE Press, Bellingham, 1999.
G. J. F. Banon and J. Barrera. Minimal Representations for Translation-Invariant Set Mappings by Mathematical Morphology. SIAM J. Applied Mathematics, 51(6):1782–1798, December 1991.
G. J. F. Banon and J. Barrera. Decomposition of Mappings between Complete Lattices by Mathematical Morphology, Part I. General Lattices. Signal Processing, 30:299–327, 1993.
J. Barrera and G. J. F. Banon. Expressiveness of the Morphological Language. In Image Algebra and Morphological Image Processing III, volume 1769 of Proc. of SPIE, pages 264–274, San Diego, California, 1992.
J. Barrera and E. R. Dougherty. Representation of Gray-Scale Windowed Operators. In H. J. Heijmans and J. B. Roerdink, editors, Mathematical Morphology and its Applications to Image and Signal Processing, volume 12 of Computational Imaging and Vision, pages 19–26. Kluwer Academic Publishers, Dordrecht, May 1998.
J. Barrera, E. R. Dougherty, and M. Brun. Hybrid human-machine binary morphological operator design. An independent constraint approach. Signal Processing, 80(8):1469–1487, August 2000.
J. Barrera, E. R. Dougherty, and N. S. T. Hirata. Design of Optimal Morphological Operators from Prior Filters. Acta Steriologica, 16(3):193–200, 1997. Special issue on Mathematical Morphology.
J. Barrera, E. R. Dougherty, and N. S. Tomita. Automatic Programming of Binary Morphological Machines by Design of Statistically Optimal Operators in the Context of Computational Learning Theory. Electronic Imaging, 6(1):54–67, January 1997.
J. Barrera and R. F. Hashimoto. Sup-compact and inf-compact representation of w-operators. Fundamenta Informaticae, 45(4):283–294, 2001. Automatic design of morphological operators 277
J. Barrera, R. Terada, R. Hirata Jr, and N. S. T. Hirata. Automatic Programming of Morphological Machines by PAC Learning. Fundamenta Informaticae, 41(1–2):229–258, January 2000.
E. J. Coyle and J.-H. Lin. Stack Filters and the Mean Absolute Error Criterion. IEEE Transactions on Acoustics, Speech and Signal Processing, 36(8):1244–1254, August 1988.
E. R. Dougherty. Optimal Mean-Square N-Observation Digital Morphological Filters I. Optimal Binary Filters. CVGIP: Image Understanding, 55(1):36–54, January 1992.
E. R. Dougherty and J. Barrera. Bayesian Design of Optimal Morphological Operators Based on Prior Distributions for Conditional Probabilities. Acta Stereologica, 16(3):167–174, 1997.
E. R. Dougherty and J. Barrera. Logical Image Operators. In E. R. Dougherty and J. T. Astola, editors, Nonlinear Filters for Image Processing, pages 1–60. SPIE and IEEE Press, Bellingham, 1999.
E. R. Dougherty, J. Barrera, G. Mozelle, S. Kim, and M. Brun. Multiresolution Analysis for Optimal Binary Filters. Mathematical Imaging and Vision, (14):53–72, 2001.
E. R. Dougherty and C. R. Giardina. A digital version of the matheron representation theorem for increasing tau-mappings in terms of a basis for the kernel. In Proc. IEEE Computer Vision and Pattern Recognition, pages 534–536, Miami, 1986.
E. R. Dougherty and R. P. Loce. Precision of Morphological-Representation Estimators for Translation-invariant Binary Filters: Increasing and Nonincreasing. Signal Processing, 40:129–154, 1994.
E. R. Dougherty and R. P. Loce. Optimal Binary Differencing Filters: Design, Logic Complexity, Precision Analysis, and Application to Digital Document Processing. Electronic Imaging, 5(1):66–86, January 1996.
E. R. Dougherty and D. Sinha. Computational Mathematical Morphology. Signal Processing, 38:21–29, 1994.
E. R. Dougherty, Y. Zhang, and Y. Chen. Optimal Iterative Increasing Binary Morphological Filters. Optical Engineering, 35(12):3495–3507, December 1996.
M. Gabbouj and E. J. Coyle. Minimum Mean Absolute Error Stack Filtering with Structural Constraints and Goals. IEEE Transactions on Acoustics, Speech and Signal Processing, 38(6):955–968, June 1990.
N. R. Harvey and S. Marshall. The Use of Genetic Algorithms in Morphological Filter Design. Signal Processing: Image Communication, 8(1):55–71, January 1996.
H. J. A. M. Heijmans. Morphological Image Operators. Academic Press, Boston, 1994.
H. J. A. M. Heijmans and C. Ronse. The Algebraic Basis of Mathematical Morphology — Part I: Dilations and Erosions. Computer Vision, Graphics and Image Processing, 50:245–295, 1990.
N. S. T. Hirata, E. R. Dougherty, and J. Barrera. A Switching Algorithm for Design of Optimal Increasing Binary Filters Over Large Windows. Pattern Recognition, 33(6):1059–1081, June 2000.
N. S. T. Hirata, E. R. Dougherty, and J. Barrera. Iterative Design of Morphological Binary Image Operators. Optical Engineering, 39(12):3106–3123, December 2000.
R. Hirata Jr., E. R. Dougherty, and J. Barrera. Aperture Filters. Signal Processing, 80(4):697–721, April 2000.
V. G. Kamat, E. R. Dougherty, and J. Barrera. Multiresolution Bayesian Design of Binary Filters. submitted, 2000.
P. Kuosmanen and J. T. Astola. Optimal stack filters under rank selection and structural constraints. Signal Processing, 41:309–338, 1995.
R. P. Loce and E. R. Dougherty. Facilitation of Optimal Binary Morphological Filter Design Via Structuring Element Libraries and Design Constraints. Optical Engineering, 31(5):1008–1025, May 1992.
R. P. Loce and E. R. Dougherty. Optimal Morphological Restoration: The Morphological Filter Mean-Absolute-Error Theorem. Visual Communication and Image Representation, 3(4):412–432, December 1992.
R. P. Loce and E. R. Dougherty. Mean-Absolute-Error representation and Optimization of Computational-Morphological Filters. Graphical Models and Image Processing, 57(1):27–37, 1995.
P. Maragos. A Representation Theory for Morphological Image and Signal Processing. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(6):586–599, June 1989.
P. A. Maragos. A Unified Theory of Translation-invariant Systems with Applications to Morphological Analysis and Coding of Images. PhD thesis, School of Elect. Eng.-Georgia Inst. Tech., 1985.
G. Matheron. Random Sets and Integral Geometry. John Wiley, 1975.
A. V. Mathew, E. R. Dougherty, and V. Swarnakar. Efficient Derivation of the Optimal Mean-Square Binary Morphological Filter from the Conditional Expectation Via a Switching Algorithm for Discrete Power-Set Lattice. Circuits, Systems, and Signal Processing, 12(3):409–430, 1993.
J. B. R. F. Hashimoto and E. R. Dougherty. From the sup-decomposition to a sequential decomposition. In L. V. John Goutsias and D. S. Bloomberg, editors, Mathematical morphology and its applications to image and signal processing, pages 13–22, Palo Alto, 2000.
J. B. R. F. Hashimoto and C. E. Ferreira. A combinatorial optimization technique for the sequential decomposition of erosions and dilations. Journal of Mathematical Imaging and Vision, 13(1):17–33, 2000.
P. Salembier. Structuring element adaptation for morphological filters. Visual Communication and Image Representation, 3(2):115–136, 1992.
O. V. Sarca, E. Dougherty, and J. Astola. Two-stage Binary Filters. Electronic Imaging, 8(3):219–232, July 1999.
O. V. Sarca, E. R. Dougherty, and J. Astola. Secondarily Constrained Boolean Filters. Signal Processing, 71(3):247–263, December 1998.
J. Serra. Image Analysis and Mathematical Morphology. Academic Press, 1982.
I. Tąbuş, D. Petrescu, and M. Gabbouj. A training Framework for Stack and Boolean Filtering — Fast Optimal Design Procedures and Robustness Case Study. IEEE Transactions on Image Processing, 5(6):809–826, June 1996.
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Barrera, J., Banon, G.J.F., Dougherty, E.R. (2005). Automatic design of morphological operators. In: Bilodeau, M., Meyer, F., Schmitt, M. (eds) Space, Structure and Randomness. Lecture Notes in Statistics, vol 183. Springer, New York, NY. https://doi.org/10.1007/0-387-29115-6_11
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DOI: https://doi.org/10.1007/0-387-29115-6_11
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