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Transforming 3D Coloured Pixels into Musical Instrument Notes for Vision Substitution Applications

EURASIP Journal on Image and Video Processing volume 2007, Article number: 076204 (2007) Cite this article

Abstract

The goal of the See ColOr project is to achieve a noninvasive mobility aid for blind users that will use the auditory pathway to represent in real-time frontal image scenes. We present and discuss here two image processing methods that were experimented in this work: image simplification by means of segmentation, and guiding the focus of attention through the computation of visual saliency. A mean shift segmentation technique gave the best results, but for real-time constraints we simply implemented an image quantification method based on the HSL colour system. More particularly, we have developed two prototypes which transform HSL coloured pixels into spatialised classical instrument sounds lasting for 300 ms. Hue is sonified by the timbre of a musical instrument, saturation is one of four possible notes, and luminosity is represented by bass when luminosity is rather dark and singing voice when it is relatively bright. The first prototype is devoted to static images on the computer screen, while the second has been built up on a stereoscopic camera which estimates depth by triangulation. In the audio encoding, distance to objects was quantified into four duration levels. Six participants with their eyes covered by a dark tissue were trained to associate colours with musical instruments and then asked to determine on several pictures, objects with specific shapes and colours. In order to simplify the protocol of experiments, we used a tactile tablet, which took the place of the camera. Overall, colour was helpful for the interpretation of image scenes. Moreover, preliminary results with the second prototype consisting in the recognition of coloured balloons were very encouraging. Image processing techniques such as saliency could accelerate in the future the interpretation of sonified image scenes.

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Authors and Affiliations

  1. University of Applied Science, Rue de la prairie 4, Geneva, 1202, Switzerland

    Guido Bologna & Michel Vinckenbosch

  2. Computer Science Center, University of Geneva, Rue Général Dufour 24, Geneva, 1211, Switzerland

    Benoît Deville & Thierry Pun

Authors
  1. Guido Bologna
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  2. Benoît Deville
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  3. Thierry Pun
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  4. Michel Vinckenbosch
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Correspondence to Guido Bologna.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Bologna, G., Deville, B., Pun, T. et al. Transforming 3D Coloured Pixels into Musical Instrument Notes for Vision Substitution Applications. J Image Video Proc 2007, 076204 (2007). https://doi.org/10.1155/2007/76204

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  • DOI: https://doi.org/10.1155/2007/76204

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