West Indies
Research Article
A 3S Multi-level Thresholding Technique for Intracranial Segmentation from Brain MRI Images
Author(s): Daryoush Mortazavi, Abbas Z. Kouzani and Hamid Soltanian-ZadehDaryoush Mortazavi, Abbas Z. Kouzani and Hamid Soltanian-Zadeh
Image segmentation is an important task involved in different areas from image processing to image analysis. One of the simplest methods for image segmentation is thresholding. However, many thresholding methods are based on a bi-level thresholding procedure. These methods can be extended to form multi-level thresholding, but they become computationally expensive because a large number of iterations would be required for computing the optimum threshold values. In order to overcome this disadvantage, a new method based on a Shrinking Search Space (3S) algorithm is proposed in this paper. The method is applied on statistical bi-level thresholding approaches including Entropy, Cross-entropy, Covariance, and Divergent Based Thresholding (DBT), to achieve multi-level thresholding and used for intracranial segmentation from brain MRI images. The paper demonstrates that the impact of the pro.. Read More»
DOI:
10.4172/2155-9538.1000109
Journal of Bioengineering & Biomedical Science received 307 citations as per Google Scholar report