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Báo cáo hóa học: " Research Article Transforming 3D Coloured Pixels into Musical Instrument Notes for Vision Substitution Applications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Transforming 3D Coloured Pixels into Musical Instrument Notes for Vision Substitution Applications | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 76204 14 pages doi 10.1155 2007 76204 Research Article Transforming 3D Coloured Pixels into Musical Instrument Notes for Vision Substitution Applications Guido Bologna 1 Benoit Deville 2 Thierry Pun 2 and Michel Vinckenbosch1 1 University of Applied Science Rue de la prairie 4 1202 Geneva Switzerland 2 Computer Science Center University of Geneva Rue General Dufour 24 1211 Geneva Switzerland Received 15 January 2007 Accepted 23 May 2007 Recommended by Dimitrios Tzovaras 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