Ahmed Basil Al-Othman

Work place: Faculty of Computing, Universiti Teknologi Malaysia

E-mail: ahmedbasil0081@yahoo.com


Research Interests: Image Processing, Image Manipulation, Image Compression, Pattern Recognition


Ahmed Basil Al-Othman was born in Iraq in 1981. He has received his B.Sc. in computer science from AlHadba University College in 2005. In 2011 he received his M.Sc. degree in Computer Science from Universiti Teknology Malaysia (UTM). His area of research interest is medical image processing, image enhancement, pattern and face recognition, segmentation, and GIS.

Author Articles
Improving the MRI Tumor Segmentation Process Using Appropriate Image Processing Techniques

By Ahmed Basil Al-Othman Zohair Al-Ameen Ghazali Bin Sulong

DOI: https://doi.org/10.5815/ijigsp.2014.02.03, Pub. Date: 8 Jan. 2014

Segmenting tumor from MRI images is an essential but time consuming manual duty. Performing an automatic segmentation is a defying task since different forms of tumor tissue exist for diverse patients and in many cases the tumor is similar to the normal tissue. Various studies proposed earlier to handle the issue of precisely segmenting the tumor but they discard the degradations and their effect to the precision of the segmentation. This article provides a more precise segmentation process through the use of appropriate pre-processing algorithms. The authors studied many enhancement and restoration algorithms and selected the NL-means, Laplacian filter and histogram equalization to be used as preprocessing techniques. Experimental results showed that using a suitable preprocessing scheme would produce a better segmentation process.

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