Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-416X
Online ISSN:
0976-4178


  About IJCLR
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
Journal of Multimedia Processing and Technologies (JMPT)
International Journal of Web Application (IJWA)

 

 
International Journal of Computational Linguistics Research
 

 

Digital Data Shape for Efficient Data Storage
Cevdet Akyel, Günes Karabulut Kurt
Department of Electrical Engineering and Poly-Grames Research Center Polytechnique Montréal, Montréal, Canada
Abstract: This work advocates an innovative coordinate framework that can be easily adapted to various dimensions. The primary goal is to offer a versatile way to represent any shape digitally, ensuring effective and efficient data storage. Potential uses range from identifying objects to analyzing handwritten text. Several illustrative examples and discussions on extending the system to three-dimensional and one-dimensional scenarios are provided. Additionally, the paper points out areas that still require further research.
Keywords: Cartesian Coordinates, Sequential Coordinates, 3d Representation Digital Data Shape for Efficient Data Storage
DOI:https://doi.org/10.6025/ijclr/2024/15/2/49-55
Full_Text   PDF 2.43 MB   Download:   12  times
References:

[1] Freeman, H. (1961). On the encoding of arbitrary geometric configurations. IRE Transactions on Electronic Computers, 2, 260-268.

[2] Dziech, A., Ukasha, A., Wassermann, J. (2006). A new method for contour extraction and image compression in spectral domain. IEEE Proceedings ELMAR, 41-44.

[3] Snarski, A. C. (2020). Recursive path following in log polar space for autonomous leaf contour extraction (Master’s thesis, University of New Hampshire).

[4] Thanikkal, J. G., Dubey, A. K., Thomas, M. T. (2020). Unique shape descriptor algorithm for medicinal plant identification (SDAMPI) with abridged image database. IEEE Sensors Journal, 20(21), 13103-13109.

[5] Moreno-García, C. F., Elyan, E., Jayne, C. (2019). New trends on digitisation of complex engineering drawings. Neural Computing and Applications, 31(6), 1695-1712.

[6] Plamondon, R., Srihari, S. N. (2000). Online and off-line handwriting recognition: A comprehensive survey. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1), 63-84.

[7] Le Quentrec, É., Mazo, L., Baudrier, É., Tajine, M. (2021). A monotonic sampling of a continuous closed curve from its Gauss digitization. Application to length estimation. [Online]. Retrieved from https://hal.archives-ouvertes.fr/hal-02987858v2.

[8] Le Quentrec, É., Mazo, L., Baudrier, É., et al. (2020). Local turn-boundedness: A curvature control for continuous curves with application to digitization. Journal of Mathematical Imaging and Vision, 62, 673-692.

[9] Wang, Q., Li, S., Wei, S., Qi, S., Zhang, W., Kang, T., Li, Y. (2023). Direct manufacturing technology for high-precision follow-the-shape circuits on complex, hard, curved surfaces. Advanced Material Technologies, 8(17), 2300295.

[10] Le Quentrec, É., Mazo, L., Baudrier, É., et al. (2022). Monotonic sampling of a continuous closed curve with respect to its Gauss digitization: Application to length estimation. Journal of Mathematical Imaging and Vision, 64, 869-891.

 


Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright © 2011 dline.info