Image Processing Reference
In-Depth Information
[2] Noldus L, Spink A, Tegelenbosch R. EthoVision: a versatile video tracking system
for automation of behavioral experiments. Behav Res Methods Instrum Comput.
2001;33:398-414.
[3] Salz J, Foley BR. Natural genetic variation in social niche construction: social efects
of aggression drive disruptive sexual selection in Drosophila melanogaster . Am Nat.
2011;177:645-654.
[4] Chen H, Foley B, Marjoram P. Trajectory scoring using JAABA in a noisy system. In:
Worldcomp iPCV; 2014.
[5] Kabra M, Robie A, Rivera-Alba M, Branson S, Branson K. JAABA: interactive machine
learning for automatic annotation of animal behavior. Nat Methods. 2013;10:64-U87.
[6] Ardekani R, Biyani A, Dalton JE, Salz JB, Arbeitman MN, Tower J, et al. Three-di-
mensional tracking and behaviour monitoring of multiple fruit flies. J R Soc Interface.
2013;10(78):20120547.
[7] Bradski, G., 2000. The openCV library. Dr. Dobb's Journal of Software Tools.
[8] Abramoff M, Magalhaes P, Ram S. Image Processing with ImageJ. Biophoton Int.
2004;11:36-42.
[9] Park S, Kim K. Color recognition with compact color features. Int J Commun Syst.
2012;25(6):749-762.
[10] Saber E, Tekalp A, Eschbach R, Knox K. Automatic image annotation using adaptive
color classification. Graph Model Image Process. 1996;58:115-126.
[11] Sural S, Qian G, Pramanik S. Segmentation and histogram generation using the hSV color
space for image retrieval. In: International conference on image processing (iCIP); 2002.
[12] Wyszechi G, Stiles W. Color science: concepts and methods. 2nd ed. New York, USA: Wi-
ley; 1982.
[13] R Development Core Team. R: a language and environment for statistical computing. Vi-
enna, Austria: R Foundation for Statistical Computing; 2006.
[14] Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, et al. Scikit-
learn: machine learning in Python. J Mach Learn Res. 2011;12:2825-2830.
 
 
 
 
 
 
 
 
 
 
 
 
Search WWH ::




Custom Search