A. Afifi

Work place: College of Computers and Information Technology/Computer Engineering Department, Taif, 888, KSA

E-mail: a.afifi@tu.edu.sa


Research Interests: Image Compression, Image Manipulation, Image Processing


Dr. Ashraf Afifi is an assistance professor, faculty of computers and information technology, Taif University, Saudi Arabia. He received his MSC Degree in digital communication in 1995 from  zagazig University, Egypt. He completed his Ph. D. studies in 2002 from zagzig University, Egypt. His research interests are digital communication, and image segmentation. In these areas he has published several technical papers in refereed international journals or Conference proceedings.

Author Articles
New Region Growing based on Thresholding Technique Applied to MRI Data

By A. Afifi S. Ghoniemy E.A. Zanaty S. F. El-Zoghdy

DOI: https://doi.org/10.5815/ijcnis.2015.07.08, Pub. Date: 8 Jun. 2015

This paper proposes an optimal region growing threshold for the segmentation of magnetic resonance images (MRIs). The proposed algorithm combines local search procedure with thresholding region growing to achieve better generic seeds and optimal thresholds for region growing method. A procedure is used to detect the best possible seeds from a set of data distributed all over the image as a high accumulator of the histogram. The output seeds are fed to the local search algorithm to extract the best seeds around initial seeds. Optimal thresholds are used to overcome the limitations of region growing algorithm and to select the pixels sequentially in a random walk starting at the seed point. The proposed algorithm works automatically without any predefined parameters. The proposed algorithm is applied to the challenging application “gray matter/white matter” segmentation datasets. The experimental results compared with other segmentation techniques show that the proposed algorithm produces more accurate and stable results.

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