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References
1. Octave, http://www.gnu.org/software/octave/
2. Ando, S.: Consistent gradient operators. IEEE Transactions on Pattern Analysis and Ma-
chine Intelligence 22(3), 252-265 (2000)
3. Balakrishnan, M., Pearlman, W.A.: Hexagonal subband image coding with perceptual
weighting. Optical Engineering 32(7), 1430-1437 (1993)
4. Chettir, S., Keefe, M., Zimmerman, J.: Obtaining centroids of digitized regions using
square and hexagonal tilings for photosensitive elements. In: Svetkoff, D.J. (ed.) Optics,
Illumination, and Image Sensing for Machine Vision IV, SPIE Proc., vol. 1194, pp. 152-
164 (1989)
5. Choi, K., Chan, S., Ng, T.: A new fast motion estimation algorithm using hexagonal sub-
sampling pattern and multiple candidates search. In: International Conference on Image
Processing, vol. 1, pp. 497-500 (1996)
6. Davies, E.: Circularity - a new principle underlying the design of accurate edge orienta-
tion operators. Image and Vision Computing 2(3), 134-142 (1984)
7. Dubois, E.: The sampling and reconstruction of time-varying imagery with application
in video systems. Proceedings of the IEEE 73(4), 502-522 (1985)
8. Frei,
W.,
Chen,
C.C.:
Fast
boundary
detection:
A
generalization
and
a
new
algorithm.
IEEE
Transactions
on
Computers
C-26(10),
988-998
(1977);
doi:10.1109/TC.1977.1674733
9. Grigoryan, A.M.: Efficient algorithms for computing the 2-d hexagonal fouriertrans-
forms. IEEE Transactions on Signal Processing 50(6), 1438-1448 (2002)
10. Her, I.: Geometric transformations on the hexagonal grid. IEEE Transactions on Image
Processing 4(9), 1213-1222 (1995)
11. Jiang, Q.: Fir filter banks for hexagonal data processing. IEEE Transactions on Image
Processing 17(9), 1512-1521 (2008); doi:10.1109/TIP.2008.2001401
12. Kimuro, Y., Nagata, T.: Image processing on an omni-directional view using a spheri-
cal hexagonal pyramid: vanishing points extraction and hexagonal chain coding. In: Pro-
ceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems 1995.
Human Robot Interaction and Cooperative Robots, Pittsburgh, PA, vol. 3, pp. 356-361
(1995)
13. Kirsch, R.A.: Computer determination of the constituent structure of biological images.
Computers and Biomedical Research 4, 315-328 (1971)
14. Mersereau, R.M.: The processing of hexagonally sampled two-dimensional signals. Pro-
ceedings of The IEEE 67(6), 930-953 (1979)
15. Middleton, L.: The co-occurrence matrix in square and hexagonal lattices. In: ICARCV
2002, vol. 1, pp. 90-95 (2002)
16. Middleton, L., Sivaswamy, J.: Hexaonal Image Processing: A Practical Approach.
Springer, Heidelberg (2005)
17. Overington, I.: Computer Vision: a unified, biologically-inspired approach. Elsevier Sci-
ence Pub. Co., Amsterdam (1992)
18. Prewitt,
J.M.,
Mendelsohn,
M.L.:
The
analysis
of
cell
images.
Advances
in
Biomedical
Computer
Applications
128,
1035-1053
(1996);
doi:10.1111/j.1749-
6632.1965.tb11715.x
19. Roberts, L.G.: Machine Perception Of Three-Dimensional Solids. Massachusetts Insti-
tute of Technology lexington lincoln lab (1963)
20. Shima, T., Saito, S., Nakajima, M.: Design and evaluation of more accurate gradient
operators on hexagonal lattices. IEEE Transactions on Pattern Analysis and Machine
Intelligence 32(6), 961-973 (2010)
 
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