Work place: Aix Marseille Univ, CNRS, Marseille Central Station, LMA, Marseille, France
E-mail: Elhadj-youssefwajih@yahoo.fr
Website:
Research Interests: Algorithm Design, Processor Design, Embedded System, Interaction Design
Biography
Wajih. Elhadj Youssef is an Assistant professor in ENIT university of Monastir,. His research interests include RTL Design, IP, SoC, FPGA, ASIC, Microcontroler, Raspberry, Embedded applications, OS embarqué, ModelSim, Xilinx, Synopsis, Cadence, Altera,Eclipse, linux, Assembleur, PicC,Vhdl, Verilog, Android, Python, Java, Java Embarqué, c/c++. He is the author of 15 research items and he has 42 citations.
By Marwa Fradi Wajih Elhadj Youssef Philippe Lasaygues Mohsen Machhout
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.
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