Fuzzy based human vision properties in stereo sonification system for visually impaired

Nagarajan, Ramachandran and Sazali Yaacob, and Sainarayanan, Gopala Krishnan (2001) Fuzzy based human vision properties in stereo sonification system for visually impaired. In: Intelligent Robots and Computer Vision XX: Algorithms, Techniques, and Active, 29-31October 2001, Boston, MA..

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Abstract

This paper presents incorporation of certain human vision properties in the image processing methodologies, applied in the vision substitutive system for human blind. The prototype of the system has digital video camera fixed in a headgear, stereo earphone and a laptop computer, interconnected. The processing of the captured image is designed as human vision. It involves lateral inhibition, which is developed using Feed Forward Neural Network (FFNN) and domination of the object properties with suppression of background by means of Fuzzy based Image Processing System (FLIPS). The processed image is mapped to stereo acoustic signals to the earphone. The sound is generated using nonlinear frequency incremental sine wave. The sequence of the scanning to construct the acoustic signal is designed to produce stereo signals, which aids to locate the object in horizontal axis. Frequency variation implies the location of object in the vertical axis. The system is tested with blind volunteer and his suggestion in formatting, pleasantness and discrimination of sound pattern were also considered.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Acoustic signal processing, Edge detection, Feedforward neural networks, Fuzzy sets, Scanning, Video cameras, Stereo sonification systems, Image processing
Subjects: ?? TA1501-1820 ??
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 02 Feb 2012 07:54
Last Modified: 10 Sep 2014 05:53
URI: http://eprints.ums.edu.my/id/eprint/3434

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