Untitled Document
   
You are from : ( )  
     
Untitled Document
Untitled Document
 

International Journal of Information Technology & Computer Science ( IJITCS )

Abstract :

We describe a 3D roughness error filtering technique based on SVD (Singular Value Decomposition). This paper introduces a disparity map and depth information using a graph-cut algorithm, graph-cut parameters, a filtering-based SVD, and correlation in the reconstruction of a 3D roughness surface. We found that the proposed SVD algorithm is very effective with the image-related roughness value. The roughness value only suffers a loss of about 0.09% of the original image, and the noise is sufficiently reduced. The algorithm is also applicable to data compression .

Keywords :

: Roughness, Haptics, Graph Cuts Algorithm, Singular Value Decomposition .

References :

  1. Lioudmla Tchvialexa, “Skin Roughness Assessment”, New Development in Biomedical Engineering, 01, January, 2010
  2. O. Lee, G. Lee, J. Oh, M.Kim, C. Oh, Oh,optimizaed in vivo multiple baseline stereo imaging system for skin wringles”ringles multiple baseline stereo imaging sys850-4845
  3. O. Lee, K. Lee, C. Oh, K. Kim, and M. Kim, 0-for skin wringlesn wringles, January, 2010erical decisions", Journal of Systems and Software, 2005, in press.vers
  4. T.K.Shih, K.Shih, ih, Lee, C. Oh,databses: technique & applications and up Publishing, 2002.
  5. D. Kim et al, icationsications andup Publishing, 2002.wringlesn wringles, January, 201,. Journal of the Korean physical society, Vol. 56, No. 3, March 2010, pp. 856~862.
  6. Samruddhi Kahu, Reena Rahate, hate, ate, , te, Rahate,ngular Value Decomposition”, International Juournal of Advancement in Research & Technology, Volume 2, Issue 8, Aug 2013 pp. 244~248
  7. Lyra-Leite, Davi Marco, João Paulo Carvalho Lustosa da Costa, and João Luiz Azevedo de Carvalho. "Improved MRI Reconstruction Using a Singular Value Decomposition Approximation." Ingeniería 17.2 (2012): 35-45.
  8. Tchvialevaa, Lioudmila, et al. "Skin roughness assessment." (2010).
  9. Doclo, Simon, and Marc Moonen. "SVD-based optimal filtering with applications to noise reduction in speech signals." Applications of Signal Processing to Audio and Acoustics, 1999 IEEE Workshop on. IEEE, 1999.
  10. Gokhale, U. M., and Y. V. Joshi. "Noise Estimation Using Filtering and SVD for Image Tampering Detection." International Journal of Engineering Science and Innovative Technology (IJESIT): 46-53.

Untitled Document
     
Untitled Document
   
  Copyright © 2014  IJITCS.  All rights reserved. IISRC® is a registered trademark of IJITCS Properties.