Work place: Aix Marseille Univ, CNRS, Marseille Central Station, LMA, Marseille, France
Research Interests: Computational Physics, Physics
Philippe. Lasayguess, A PhD in Mechanics, Acoustics at Aix Marseille University. He has his Ph-D degrees in Acoustics from Aix-Marseille and has the habilitation to direct research (HDR) at Aix Marseille University. He is IEEE member. He is the author of 5 keynotes lectures, 4 book chapters, 35 original publications, 90 proceedings, and 52 Seminar.
DOI: https://doi.org/10.5815/ijigsp.2018.09.01, Pub. Date: 8 Sep. 2018
Computed ultrasonic bone tomography (USCT) is a non-invasive and non-ionizing technique, which ensures the protection of child being against x-rays. The main objective of this article is to use an image processing algorithm to improve the signal-to-noise ratio of ultrasonic computed tomography (USCT) of children bones for automatic detection of osteopathologies. For this fact, we construct an application of image processing with Microsoft Foundation Class Library (FMC) integrated in visual Studio using Haar wavelet algorithm to detect edges. Different methods of image processing for automatic detection are used. Hence, we make accessible the detection of distance between bones due to the application of wavelet transform. As a result, the quality of USCT image was improved and the detection of child osteopathologies became accessible.[...] Read more.
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