References
[1] Boyat AK, Joshi BK. A review paper:
Noise models in digital image
processing. Signal & Image Processing:
An International Journal. 2015;6(2):
63-75
[2] Sezgin M, Sankur B. Survey over
image thresholding techniques and
quantitative performance evaluation.
Journal of Electronic Imaging. 2004;
13(1):146-166
[3] Serra J. Introduction to mathematical
morphology. Computer Vision,
Graphics, and Image Processing. 1986;
35(3):283-305
[4] Alvarez L, Guichard F, Lions PL,
Morel JM. Axioms and fundamental
equations of image processing. Archive
for Rational Mechanics and Analysis.
1993;123(3):199-257
[5] Prodanov D, Heeroma J, Marani E.
Automatic morphometry of synaptic
boutons of cultured cells using
granulometric analysis of digital images.
Journal of Neuroscience Methods. 2006;
151:168-177
[6] Prodanov D, Feirabend HKP.
Automated characterization of nerve
fibers labeled fluorescently:
Determination of size, class and spatial
distribution. Brain Research. 2008;1233:
35-50
[7] Florack L, Ter Haar Romeny B,
Viergever M, Koenderink J. The
Gaussian scale-space paradigm and the
multiscale local jet. International Journal
of Computer Vision. apr 1996;18(1):
61-75
[8] Larsen ABL, Darkner S, Dahl AL,
Pedersen KS. Jet-based local image
descriptors. In: Computer Vision
– ECCV. Springer Berlin Heidelberg;
2012. pp. 638, 2012-650
[9] Szeliski R. Computer Vision.
Springer-Verlag GmbH; 2010
[10] Arganda-Carreras I, Kaynig V,
Rueden C, Eliceiri KW, Schindelin J,
Cardona A, et al. Trainable weka
segmentation: A machine learning tool
for microscopy pixel classification.
Bioinformatics. 2017;33(15):2424-2426
[11] Vohra S, Prodanov D. Classification
and segmentation of cells in anatomic &
time lapse microscopic images based on
geometrical features and machine
learning. Frontiers in Neuroinformatics.
2016;10
[12] Marr D, Hildreth E. Theory of edge
detection. Proceedings of the Royal
Society of London. Series B. 1980;207:
187-217
[13] Iijima T. Theory of pattern
recognition. Electronics and
Communications in Japan. 1963:123-134
[14] Witkin AP. Scale-space filtering. In:
Proceedings of the 8th International
Joint Conference on Artificial
Intelligence (IJCAI ‘83), Vol. 2,
Aug. 8–12. 1983. pp. 1019-1022
[15] Koenderink JJ. The structure of
images. Biological Cybernetics. 1984;
50(5):363-370
[16] Lindeberg T. Scale-Space. Wiley
Encyclopedia of Computer Science and
Engineering; 2007. pp. 2495-2504
[17] Weickert J. Anisotropic Diffusion in
Image Processing. ECMI Series.
Stuttgart: Teubner-Verlag; 1998
[18] Pauwels EJ, Van Gool LJ,
Fiddelaers P, Moons T. An extended
class of scale-invariant and recursive
scale space filters. IEEE Transactions on
Pattern Analysis and Machine
Intelligence. 1995;17(7):691-701
[19] Duits R, Felsberg M, Florack L,
Platel B. α-Scale spaces on a bounded
63
Multiscale Segmentation of Microscopic Images
DOI: http://dx.doi.org/10.5772/intechopen.89003
[1] Boyat AK, Joshi BK. A review paper:
Noise models in digital image
processing. Signal & Image Processing:
An International Journal. 2015;6(2):
63-75
[2] Sezgin M, Sankur B. Survey over
image thresholding techniques and
quantitative performance evaluation.
Journal of Electronic Imaging. 2004;
13(1):146-166
[3] Serra J. Introduction to mathematical
morphology. Computer Vision,
Graphics, and Image Processing. 1986;
35(3):283-305
[4] Alvarez L, Guichard F, Lions PL,
Morel JM. Axioms and fundamental
equations of image processing. Archive
for Rational Mechanics and Analysis.
1993;123(3):199-257
[5] Prodanov D, Heeroma J, Marani E.
Automatic morphometry of synaptic
boutons of cultured cells using
granulometric analysis of digital images.
Journal of Neuroscience Methods. 2006;
151:168-177
[6] Prodanov D, Feirabend HKP.
Automated characterization of nerve
fibers labeled fluorescently:
Determination of size, class and spatial
distribution. Brain Research. 2008;1233:
35-50
[7] Florack L, Ter Haar Romeny B,
Viergever M, Koenderink J. The
Gaussian scale-space paradigm and the
multiscale local jet. International Journal
of Computer Vision. apr 1996;18(1):
61-75
[8] Larsen ABL, Darkner S, Dahl AL,
Pedersen KS. Jet-based local image
descriptors. In: Computer Vision
– ECCV. Springer Berlin Heidelberg;
2012. pp. 638, 2012-650
[9] Szeliski R. Computer Vision.
Springer-Verlag GmbH; 2010
[10] Arganda-Carreras I, Kaynig V,
Rueden C, Eliceiri KW, Schindelin J,
Cardona A, et al. Trainable weka
segmentation: A machine learning tool
for microscopy pixel classification.
Bioinformatics. 2017;33(15):2424-2426
[11] Vohra S, Prodanov D. Classification
and segmentation of cells in anatomic &
time lapse microscopic images based on
geometrical features and machine
learning. Frontiers in Neuroinformatics.
2016;10
[12] Marr D, Hildreth E. Theory of edge
detection. Proceedings of the Royal
Society of London. Series B. 1980;207:
187-217
[13] Iijima T. Theory of pattern
recognition. Electronics and
Communications in Japan. 1963:123-134
[14] Witkin AP. Scale-space filtering. In:
Proceedings of the 8th International
Joint Conference on Artificial
Intelligence (IJCAI ‘83), Vol. 2,
Aug. 8–12. 1983. pp. 1019-1022
[15] Koenderink JJ. The structure of
images. Biological Cybernetics. 1984;
50(5):363-370
[16] Lindeberg T. Scale-Space. Wiley
Encyclopedia of Computer Science and
Engineering; 2007. pp. 2495-2504
[17] Weickert J. Anisotropic Diffusion in
Image Processing. ECMI Series.
Stuttgart: Teubner-Verlag; 1998
[18] Pauwels EJ, Van Gool LJ,
Fiddelaers P, Moons T. An extended
class of scale-invariant and recursive
scale space filters. IEEE Transactions on
Pattern Analysis and Machine
Intelligence. 1995;17(7):691-701
[19] Duits R, Felsberg M, Florack L,
Platel B. α-Scale spaces on a bounded
63
Multiscale Segmentation of Microscopic Images
DOI: http://dx.doi.org/10.5772/intechopen.89003