A K-Means-Galactic Swarm Optimization-Based Clustering Algorithm with Otsu's Entropy for Brain Tumor Detection

• Published in: Applied artificial intelligence Vol. 33; no. 2; pp. 152 - 170
• Main Authors: Nanda, Satyasai Jagannath, Gulati, Ishank, Chauhan, Rajat, Modi, Rahul, Dhaked, Uttam
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 28.01.2019; Taylor & Francis Ltd; Taylor & Francis Group
• Subjects: Algorithms; Brain; Cluster analysis; Clustering; Computer simulation; Entropy of solution; Fitness; Genetic algorithms; Image detection; Image segmentation; Magnetic resonance imaging; Medical imaging; Optimization; Tumors; Vector quantization

Image segmentation is a technique in order to segment an image into various parts and derive meaningful information out of each one. In this article, problem of image segmentation is applied on brain MRI images. This is done in order to detect and capture the location, size and shape of five differe...