[Asano, S., Maruyama, T. and Yamaguchi, Y. (2009). Performance comparison of FPGA, GPU and CPU in image processing, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 126-131.]Search in Google Scholar
[Canto, E., Fons, M., Lopez, M. and Ramos, R. (2009). Acceleration of complex algorithms on a fast reconfigurable embedded system on Spartan-3, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 429-434.]Search in Google Scholar
[Cho, J., Jin, S., Pham, X., Kim, D. and Jeon, J. (2007). FPGA-based real-time visual tracking system using adaptive color histograms, Proceedings of the IEEE International Conference on Robotics and Biomimetics, ROBIO 2007, Sanya, China, pp. 172-177.]Search in Google Scholar
[Claus, C., Huitl, R., Rausch, J. and Stechele, W. (2009). Optimizing the SUSAN corner detection algorithm for a high speed FPGA implementation, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 138-145.]Search in Google Scholar
[Denolf, K., Neuendorffer, S. and Vissers, K. (2009). Using C-to-gates to program streaming image processing kernels efficiently on FPGAs, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 626-630.]Search in Google Scholar
[Edwards, S. (2006). The challenges of synthesizing hardware from C-like languages, IEEE Design & Test of Computers 23(5): 375-386.10.1109/MDT.2006.134]Search in Google Scholar
[El-Araby, E., Nosum, P. and El-Ghazawi, T. (2007). Productivity of high-level languages on reconfigurable computers: An HPC perspective, International Conference on Field-Programmable Technology, ICFPT 2007, Kitakyushu, Japan, pp. 257-260.]Search in Google Scholar
[Gocławski, J., Sekulska-Nalewajko, J., Gajewska, E. and Wielanek, M. (2009). An automatic segmentation method for scanned images of wheat root systems with dark discolourations, International Journal of Applied Mathematics and Computer Science 19(4): 679-689, DOI: 10.2478/v10006-009-0055-x.10.2478/v10006-009-0055-x]Search in Google Scholar
[Gorgon, M. and Tadeusiewicz, R. (2000). Hardware-based image processing library for Virtex FPGA, in J. Schewel, P. M. Athanas, C. H. Dick and J. T. McHenrz (Eds.) Reconfigurable Technology: FPGAs for Computing and Appplications II, Proceedings of SPIE, Vol. 4212, pp. 1-10.]Search in Google Scholar
[Ibarra-Manzano, M., Devy, M., Boizard, J.-L., Lacroix, P. and Fourniols, J.-Y. (2009). An efficient reconfigurable architecture to implement dense stereo vision algorithm using high-level synthesis, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 444-447.]Search in Google Scholar
[Impulse C (2009). Impulse accelerated technologies website www.impulseaccelerated.com]Search in Google Scholar
[Jabłoński, M., Przybyło, J. and Gorgon, M. (2006). Real-time implementation of motion detection algorithm based on Pixelstreams, Proceedings of the IFAC Workshop on Programmable Devices and Embedded Systems, PDeS 2006, Napa, CA, USA, pp. 186-190.]Search in Google Scholar
[Jin, S., Cho, J., Kwon, K. and Jeon, J. (2009). A dedicated hardware architecture for real-time auto-focusing using an FPGA, Machine Vision and Applications 21(5): 727-734.10.1007/s00138-009-0190-2]Search in Google Scholar
[Kalaycioglu, C., Ulusel, O. and Hamzaoglu, I. (2009). Low power techniques for motion estimation hardware, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 180-185.]Search in Google Scholar
[Kokufuta, K. and Maruyama, T. (2009). Real-time processing of local contrast enhancement on FPGA, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 288-293.]Search in Google Scholar
[Lai, H.-C., Savvides, M. and Chen, T. (2007). Proposed FPGA hardware architecture for high frame rate (100 fps) face detection using feature cascade classifiers, Proceedings of the First IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2007, Crystal City, VA, USA, pp. 1-6.]Search in Google Scholar
[Mitrion-C (2009). Mitrion website www.mitrionics.com]Search in Google Scholar
[MitrionUserGuide (2008). Mitrion user guide—Image processing using Sobel convolution, Mitrionics AB, Lund.]Search in Google Scholar
[Murthy, S., Alvis, W., Shirodkar, R., Valavanis, K. and Moreno, W. (2008). Methodology for implementation of unmanned vehicle control on FPGA using system generator, Proceedings of the 7th International Caribbean Conference on Devices, Circuits and Systems, ICCDCS 2008, Cancun, Mexico, pp. 1-6.]Search in Google Scholar
[Otsu, N. (1979). A threshold selection method from gray level histograms, IEEE Transactions on Systems, Man and Cybernetics 9(1): 62-66.10.1109/TSMC.1979.4310076]Search in Google Scholar
[Piromsopa, K., Aporntewan, C. and Chogsatitvataa, P. (2001). An FPGA implementation of a fixed-point square root operation, International Symposium on Communications and Information Technology, ISCIT 2001, Bangkok, Thailand, pp. 587-689.]Search in Google Scholar
[Plavec, F., Vranesic, Z. and Brown, S. (2009). Enhancements to FPGA design methodology using streaming, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 294-301.]Search in Google Scholar
[Rafajłowicz, E., Wnuk, M. and Rafajłowicz, W. (2008). Local detection of defects from image sequences, International Journal of Applied Mathematics and Computer Science 18(4): 581-592, DOI: 10.2478/v10006-008-0051-6.10.2478/v10006-008-0051-6]Search in Google Scholar
[Russ, J. C. (2002). Image Processing Handbook, 4th Edn., CRC Press, Inc., Boca Raton, FL.]Search in Google Scholar
[Sauvola, J. and Pietikainen, M. (2000). Adaptive document image binarization, Pattern Recognition 33(2): 225-236.10.1016/S0031-3203(99)00055-2]Search in Google Scholar
[Sezgin, M. and Sankur, B. (2004). Survey over image thresholding techniques and quantitative performance evaluation, Journal of Electronic Imaging 13(1): 146-165.10.1117/1.1631315]Search in Google Scholar
[Shafait, F., Keysers, D. and Breuel, T. M. (2008). Efficient implementation of local adaptive thresholding techniques using integral images, Proceedings of the 15th Document Recognition and Retrieval Conference (DRR-2008), Part of the IS&T/SPIE International Symposium on Electronic Imaging, San Jose, CA, USA, pp. 681510-681510-6.]Search in Google Scholar
[Sotiropoulos, I. and Papaefstathiou, I. (2009). A fast parallel matrix multiplication reconfigurable unit utilized in face recognitions systems, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 276-281.]Search in Google Scholar
[Vitabile, S., Gentile, A., Siniscalchi, S. and Sorbello, F. (2004). Efficient rapid prototyping of image and video processing algorithms, Euromicro Symposium on Digital System Design, DSD 2004, Rennes, France, pp. 452-458.]Search in Google Scholar
[Wiatr, K. (2003). Acceleration of Computations in Vision Systems, WNT, Warsaw, (in Polish).]Search in Google Scholar
[Wildermann, S., Walla, G., Ziermann, T. and Teich, J. (2009). Self-organizing multi-cue fusion for FPGA-based embedded imaging, International Conference on Field Programmable Logic and Applications, FPL 2009, Prague, Czech Republic, pp. 132-137.]Search in Google Scholar
