A hybrid firefly algorithm with fuzzy-c mean algorithm for mri brain segmentation

TL;DR: A new dynamic and intelligent clustering method for brain tumor segmentation using the hybridization of Firefly Algorithm (FA) with Fuzzy C-Means algorithm (FCM) is proposed, which is called FAFCM based on the Hybridization of the firefly algorithm with fuzzy c-mean clustering algorithm.

Abstract: Image processing is one of the essential tasks to e xtract suspicious region and robust features from t he Magnetic Resonance Imaging (MRI). A numbers of the segmentation algorithms were developed in order to satisfy and increasing the accuracy of bra in tumor detection. In the medical image processing brain image segmentation is considered as a complex and challenging part. Fuzzy c-means is unsupervised method that has been implemented for clustering of the MRI and different purposes such as recognition of the pattern of interest and image segmentation. However; fuzzy c-means algorithm still suffers many drawbacks, such as low convergen ce rate, getting stuck in the local minima and vulnerable to initialization sensitivity. Firefly a lgorithm is a new population-based optimization method that has been used successfully for solving many complex problems. This paper proposed a new dynamic and intelligent clustering method for b rain tumor segmentation using the hybridization of Firefly Algorithm (FA) with Fuzzy C-Means algorithm (FCM). In order to automatically segment MRI brain images and improve the capability of the FCM to automatically elicit the proper number and location of cluster centres and the number of pixel s in each cluster in the abnormal (multiple scleros is lesions) MRI images. The experimental results prove d the effectiveness of the proposed FAFCM in enhancing the performance of the traditional FCM cl ustering. Moreover; the superiority of the FAFCM with other state-of-the-art segmentation methods is shown qualitatively and quantitatively. Conclusion : A novel efficient and reliable clustering algorithm presented in this work, which is called FAFCM based on the hybridization of the firefly algorithm with fuzzy c-mean clustering algorithm. Automatically; the hybridized algorithm has the cap ability to cluster and segment MRI brain images.