Research Article | Open Access | Download PDF
Volume 4 | Issue 10 | Year 2013 | Article Id. IJCTT-V4I10P154 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I10P154
FPGA Implementation Of Efficient And High Speed Template Matching Module
Radhamani R , Dr. Kurahatti N G
Citation :
Radhamani R , Dr. Kurahatti N G, "FPGA Implementation Of Efficient And High Speed Template Matching Module," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 10, pp. 3670-3674, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I10P154
Abstract
A web service is a technique of communication over the World Wide Web. It is a service that is always on as in the concept of utility computing. Web Service can publish its function or message to the rest of the world. It is collected by combine of individual services to constitute complex business processes. On the World Wide Web, the number of web services provider increases, the more web services exist having same functionality. Hence, the work of web service discovery becomes difficult and challengeable. The solution to this, the broker is to implement for compose web services according to security constraints and selecting the best web services to execute a business process.
Keywords
Broker, Service Composition, web services, QoS
References
[1] S. C. Wang, "Human reliability in visual inspection," Quality, Sept. 1974.
[2] Nikolić D, Muresan RC, Feng W, Singer W (2012) Scaled correlation analysis: a better way to compute a cross-correlogram. European Journal of Neuroscience, pp. 1–21,
[3]Real time FPGA based template matching module for Visual Inspection Application. Jiun-Yan Chen,Kuo-Feng Hung,Chin-Chia Wu
[4] Chin, Automated Visual Inspection: A Survey IEEE PAMI 1982
[5] Tsai, D.-M., Chiang, C.-H., 2002. Rotation-invariant pattern matching using wavelet decomposition. Pattern Recognition Lett. 23, 191–201. Wakahara, T., Kimura, Y., Tomono, A., 2001. Affine-invariant recognition of gray-scale characters using global affine transformationcorrelation. IEEE Trans. Pattern Anal. Machine Intell. 23, 384395.
[6] Kim, J.H., Cho, H.S., Kim, S., 1996. Pattern classification of solder joint images using a correlation neural network. Eng. Appl. Artif. Intell9, 655–669.
[7] Cai, X.Y., Kvasnik, F., Blore, R.W., 1994. Wafer fault measurement bycoherent optical processor. Appl. Opt. 33, 4487–4496.
[8]Stefano, “An Efficient Algorithm for exhaustive template matching based on normalized cross correlation”. IEEE ICIAP03
[9] Xiaotao Wang, Xingbo Wang, "FPGA Based Parallel Architectures fo Normalized Cross-Correlation", The 1st International Conference on Information Science and Engineering (ICISE2009), pp. 225 - 229
[10] Nisheeth Gupta, Nikhil Gupta, "A VLSI Architecture for Image Registration in Real Time," IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, VOL. 15, NO. 9SEPTEMBER 2007
[11]"Robot vision system with a correlation chip for real time tracking, optical flow, and depth map generation", 1992 IEEE Conference on Robotics and Automation, Nice, April 1992.
[12]Principles of Communication Engineering, John Wiley and Sons, 1965.
[13]Binford, T., (1982) "Survey of Model Based Image Analysis Systems", International Journal of Robotics Research, 1(18), 198