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IJSTR >> Volume 9 - Issue 1, January 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

A Matlab Approach For Design Of Virtual Footwear

[Full Text]



P.Pardhasaradhi, M.Bindu Meghana, R.Rajesh, C.Saida, N.Suresh



Distances measurement, EMD algorithm, EDM techniques, Foot dimensions, Image processing, Multidimensional images, Virtual footwear



Image processing in the future will dramatically change the experience of the human brain. A vast number of applications, software, and techniques for image processing help extract complex image features. While image processing works beyond multidimensional today and see what the image actually contains. Many techniques that draw on images in real time, but the real core is image processing. This paper addresses an overview of technologies, tools and techniques for measurement of various foot images of human being and obtain the foot dimensions using image processing and EMD algorithm in MATLAB software. Measuring and valuing a distance between two points is important in the processing of objects. The idea is to make the Euclidean distance between two points a measure of how near (or distant) two points are to each other based on two ranges. Using this we can obtain the foot measurements with less efforts and in affordable price. The need to extract information from foot images and interpret their content was the driving factor in major footwear manufacturing industries and also in health care for proving artificial legs.



. Canny, “A Computational Approach to Edge Detection,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 8, no. 6, pp. 679-698, 1986.
[2] 2.RanuGorai (2016), A Survey of Digital Image Processing, International Journal of Research in Engineering, Technology and Science, VI(Special Issue)
[3] 3.Dipen Saini (2016), Assembling of Human Beings in an Image to Detect a Group on the basis of Distance using Digital Image Processing, International Journal of Current Engineering and Technology, 6(2), 462-466
[4] 4.J. Li, X. K. Tang, and Y. J. Jiang, “Comparing Study of Some Edge Detection Algorithms,” Information Technology, vol.38, no.9, pp. 106- 108. Sep. 2007, (in Chinese).
[5] 5.X. L. Ci and G. G. Chen, “Analysis and Research of Image Edge Detection Methods,” Journal of Infrared, pp. 20-23, Jul. 2008, (in Chinese).
[6] 6. Y.S. Li et.al , "A study on edge detection of colour image" , PR&AI Vol. 5 No.2 1992.
[7] 7.M. Wen and C. Zhong, “Application of Sobel Algorithm in Edge Detection of Images,” China High-tech Enterprise, pp.57-62, Jun. 2008, (in Chinese).
[8] 8.N. Patwari, J. N. Ash, S. Kyperountas, A. O. Hero, R. L. Moses, and N. S. Correal, “Locating the nodes: Cooperative localization in wireless sensor networks,” IEEE Signal Processing Mag., vol. 22, no. 4, pp. 54–69, July 2005
[9] 9.Ivan Dokmanic´, Reza Parhizkar, Juri Ranieri, and Martin vetterli,EuclideanDistanceMatrices, Digital Object Identifier 10.1109/MSP.2015.2398954 Date of publication: 13 October 2015
[10] 10. D. L. Donoho, “De-noising via soft-thresholding”, Technical Report, Dept. of Statistics, Stanford University, 37p., 1992.
[11] 11. L. Liberti, C. Lavor, N. Maculan, and A. Mucherino, “Euclidean distance geometry and applications,” SIAM Rev., vol. 56, no. 1, pp. 3–69, 2014.
[12] 12. J. C. Gower, “Properties of Euclidean and non-Euclidean distance matrices,” Linear Algebra Appl., vol. 67, pp. 81–97, June 1985.
[13] 13. J. C. Gower, “Euclidean distance geometry,” Math. Sci., vol. 7, pp. 1–14, 1982.
[14] 14. A. Y. Alfakih, A. Khandani, and H. Wolkowicz, “Solving Euclidean distance matrix completion problems via semidefinite programming,” Comput. Optim. Appl., vol. 12, nos. 1–3, pp. 13–30, Jan. 1999.
[15] 15. P. Mattila, Geometry of Sets and Measures in Euclidean Spaces: Fractals and rectifiability. Cambridge Univ. Press, 343p., 1995.