An Approach to Segment Computed Tomography Images using Bat Algorithm
F.R. Amirtha Priyadharshini, N. Hariprasad, S. Asvitha, V. Anandhi, A.P. Swetha Priyadarshini · 2018
Image evaluation actions are extensively applied to inspect a class of medical pictures recorded with a dedicated imaging approach. This work presents an automated computer assisted technique to mine and assess the Region of Interest (ROI) of Computed Tomography (CT) images. In this work, combination of multi-thresholding and the segmentation scheme is implemented to extract the ROI from Brain and Lung CT images. The multi-thresholding is implemented using Bat Algorithm (BA) and the Kapur's function and the segmentation is implemented with the level set (DRLS). After extracting the ROI from the CT pictures, the region properties of the ROI is evaluated using the GLCM features. The experimental result of this study confirms that, proposed approach is very efficient in extracting the ROI from the considered CT images. In future, this methodology can be used in hospitals to examine the real CT images.