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scale-invariant texture and gabor features.
Acta Crystallograph D Biol Crystallograp.
2006;62(3):271-279.
[6] Po MJ, Laine AF.
Leveraging genetic algorithm and neural network in automated protein
crystal recognition.
In: 30th Annual International Conference of the IEEE: Engineering
in Medicine and Biology Society, EMBS 2008. IEEE; 2008:1926-1929.
[7] Sigdel M, Pusey ML, Aygun RS. Real-time protein crystallization image acquisition
and classification system.
Crystal Growth Design.
2013. ;13(7):2728-2736.
ht-
[8] Saitoh K, Kawabata K, Asama H.
Design of classifier to automate the evaluation of protein
crystallization states.
In: Proceedings 2006 IEEE International Conference on Robotics
and Automation, ICRA 2006. IEEE; 2006:1800-1805.
[9] Spraggon G, Lesley SA, Kreusch A, Priestle JP. Computational analysis of crystalliz-
ation trials.
Acta Crystallograph D Biol Crystallograp.
2002;58(11):1915-1923.
[10] Cumbaa CA, Jurisica I. Protein crystallization analysis on the world community grid.
J Struct Funct Genomics.
2010;11(1):61-69.
[11] Saitoh K, Kawabata K, Kunimitsu S, Asama H, Mishima T.
Evaluation of protein crys-
tallization states based on texture information.
In: 2004 IEEE/RSJ International Conference
on Intelligent Robots and Systems, IROS 2004. Vol. 3. IEEE; 2004:2725-2730.
[12] Zhu X, Sun S, Bern M.
Classification of protein crystallization imagery.
In: 26th Annual
International Conference of the IEEE on Engineering in Medicine and Biology Society,
IEMBS'04. Vol. 1. IEEE; 2004:1628-1631.
[13] Sigdel M, Sigdel M, Dinc I, Dinc S, Pusey M, Aygun R.
Classification of protein crystalliz-
ation trial images using geometric features.
In: Proceedings of the 2014 International Con-
ference on Image Processing, Computer Vision, Patern Recognition; 2014:192-198.
[14] Canny J. A computational approach to edge detection.
IEEE Trans Patern Anal Mach
Intell.
1986;6:679-698.
[15] Harris C, Stephens M.
A combined corner and edge detector.
In: Alvey Vision Conference.
Vol. 15. Manchester, UK; 1988:50.
[16] Duda RO, Hart PE. Use of the Hough transformation to detect lines and curves in pic-
tures.
Commun. ACM.
1972;15(1):11-15.
[17] Kovesi PD. MATLAB and Octave functions for computer vision and image processing.
Centre for Exploration Targeting, School of Earth and Environment, The University of
Western Australia, available from:
htp://www.csse.uwa.edu.au/_pk/research/matlab-
[18] Gonzalez R.
Woods R.
Prentice Hall: Digital image processing; 2008.
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