The week's pick
Reseach Article
Result Analysis of LabVIEW and MatLab in Application of Image Edge Detection
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 48 - Number 9 |
| Year of Publication: 2012 |
| Authors: Ravi Kumar A.v, Nataraj K.r |
10.5120/7374-9970
|
Ravi Kumar A.v, Nataraj K.r . Result Analysis of LabVIEW and MatLab in Application of Image Edge Detection. International Journal of Computer Applications. 48, 9 ( June 2012), 6-10. DOI=10.5120/7374-9970
Abstract
Edge of an Image is One of the most fundamental and significant futures. Edge detection is always one of the classical studying projects of computer vision and image processing field. It is the first step of image analysis and understanding. The purpose of edge detection is to discover the information about the shapes and the reflectance or transmittance in an image. It is one of the fundamental steps in image processing, image analysis, image pattern recognition, and computer vision, as well as in human vision. The correctness and reliability of its results affect directly the comprehension machine system made for objective world. This paper firstly describes the characteristics of edges, the properties of traditional detectors and the methodology of common edge detection and then analysing the results of MATLAB is commonly used to realize the hybrid programming so as to expand the scientific computing ability of LabVIEW. MATLAB engine must be running in this way and that results in lower perform efficiency and then summarized their recent research progresses and applications. Finally, this paper analyzed their advantages, disadvantages and presents some recommendations for future work
References
- M. G. P. Hou, LabVIEW7. 1 Programming &Virtual Instruments Designing, Tsinghua University Press,Beijing: 2005.
- J. S. F. Yao and D. Q. Xue, Mixed programming between LabVIEW and MATLAB. Software Technology, Vol. 24 NO. 6 pp. III-112, May. 2005.
- J. F. Pei and C. Y. Wang, Seamless Integration between LabVIEW and MA TLAB based on COM Technology, Instrumentation users, Vol. 12 No. 2 pp. 97-98. Nov. 2005.
- J. Y. L. Wang, Z. H. Xiong and H. Ding, Seamless Integration between LabVIEW and MATLAB ComputerApplication,Vol. 26 No. 3 pp. 696-698 Mar. 2006.
- Li Li, Dawei Qi, "Detection of cracks in computer tomography images of logs based on fractal Dimension", 2007 IEEE International Conference on Automation and Logistics, IEEE, USA, pp. 2259-2264, 2007.
- D. F. F. Song, "Image Processing system for Modem Optical Measurement Based on LabVIEW and MATLAB," pp. 46-60, Jan. 2007.
- X. L. Zhang "Digital image edge detection with MATLAB" J. Journal of jilin institute of chemical technology. Vol. 27,no. 2, pp. 59-61, 2010.
- Edge Detection", chapter of "NI Vision Concepts Help", online Resource.
- T. Kim, Y. Hong, and S. Y. Chang, Joint economic procurement--production-delivery policy for multiple items in a single-manufacturer, multiple-retailer system, Int. J. Production Economics, vol. 103, pp. 199-208, 2006.
- M. Y. Jaber and S. K. Goyal, Coordinating a three-level supply chain with multiple suppliers, a vendor and multiple buyers, Int. J. Production Economics, vol. 116, pp. 95-103, 2008.
- BridgeVIEW and LabVIEW IMAQ Vision for G reference manual, 1996.
- G. C. Panayi, "Implementation of Digital Image Processing Functions Using LabVIEW," M. S. thesis, Dept. of Electrical and Computer Engineering, Univ. of Texas at Austin, May 1999.
- The Math works Inc. (1997, June) Building GUIs With MATLABVersion 5. [Online] http://www. mathworks. com/access/helpdesk/help/techdoc/creating_guis/creating_guis. shtml
Index Terms
Keywords