We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Article:Image Recognition by Sound Pattern Generated by the Image

by Zubair Khan, Saurabh Singh, Gaurav Agarwal
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 12
Year of Publication: 2010
Authors: Zubair Khan, Saurabh Singh, Gaurav Agarwal
10.5120/1301-1609

Zubair Khan, Saurabh Singh, Gaurav Agarwal . Article:Image Recognition by Sound Pattern Generated by the Image. International Journal of Computer Applications. 7, 12 ( October 2010), 10-14. DOI=10.5120/1301-1609

@article{ 10.5120/1301-1609,
author = { Zubair Khan, Saurabh Singh, Gaurav Agarwal },
title = { Article:Image Recognition by Sound Pattern Generated by the Image },
journal = { International Journal of Computer Applications },
issue_date = { October 2010 },
volume = { 7 },
number = { 12 },
month = { October },
year = { 2010 },
issn = { 0975-8887 },
pages = { 10-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume7/number12/1301-1609/ },
doi = { 10.5120/1301-1609 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:56:06.189554+05:30
%A Zubair Khan
%A Saurabh Singh
%A Gaurav Agarwal
%T Article:Image Recognition by Sound Pattern Generated by the Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 7
%N 12
%P 10-14
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we are proposing algorithm for image recognition by sound patterns generated by the image. There are five senses in human sight, smell, taste, touch, and hearing. Sight is probably the most developed sense in humans, followed closely by hearing. Blindness is the condition of lacking visual perception due to physiological or neurological factors. For blind persons their ears work as their eyes. This paper presents a novel idea of generating an audio signature from an image which can be used to visualize the image. After some training sessions the user (may be blind person) will be able to recognize the image. This paper is divided in seven parts the first part of paper give the introductory second part deals with related work the important part of the paper is methodology and propose algorithm the last part is conclusion.

References
  1. Abravanel, E. 1971. Active detection of solid-shape Information by touch and vision. Perception & Psychophysics, 10, 358-360.
  2. Bach-y-Rita, P. 1967. Sensory plasticity: Applications to a vision substitution system. Acta Neurologica Scandanavica, 43,417-426.
  3. Bach-y-Rita, P. 1972. Brain mechanisms in sensory substitution. New York: Academic Press. Bliss, J.C., M.H. Katcher, C.H. Rogers, and R.P. Shepard. 1970. Optical-to- tactile image
  4. conversion for the blind. IEEE Transactions on Man- Machine Systems, MMS- I 1.58-65.
  5. Brabyn, J.A. 1985. A review of mobility aids and means of assessment. In Electronic spatial plasticity in blind humans. Nature, 389: 180-183.
  6. D. N. Jiang, L. Lu, H.J. Zhang, et. al. “Music type classification by spectral contrast features”, Int. Conf. Multimedia Expo (ICME02), Vol. 1,pp. 113-116, 2002
  7. G. Tzanetakis, and P.Cook, “Music genre classification of audio signals”., IEEE Trans. Speech Audi Processing, 10 (5), 293-302, 2002
  8. M. Grey, and J. W. Gordon. “Perceptual effects of spectral modifications on musical timbres.” Journal of the Acoustical Society of America, Vol. 63(5), pp. 1493-1500, 1978.
  9. J. Smola, and B. Scholkopf, “A Tutorial on Support Vector Regression”,NeuroCOLT2 Technical Report Series, NC2-TR-1998-30
  10. artino, G. and Marks, L. E., ``Synesthesia: Strong and Weak,'' Current Directions in Psychological Science, Vol. 10, No. 2, April 2001, pp. 61-65
Index Terms

Computer Science
Information Sciences

Keywords

Image to sound Listen the image image processing sound generator Sensory replacement

Powered by PhDFocusTM