http://www.iaeme.com/IJARET/index.asp 1727 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 11, November 2020, pp. 1727-1739, Article ID: IJARET_11_11_162 Available online at http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=11 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI: 10.34218/IJARET.11.11.2020.162 © IAEME Publication Scopus Indexed BRAIN CANCER PREDICTION THROUGH SEGMENTATION OF IMAGES USING BIO-GEOGRAPHY BASED OPTIMIZATION Ashish Kumar Dehariya Computer Engineering Department, Institute of Engineering and Technology, Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India Pragya Shukla Professor, Computer Engineering Department, Institute of Engineering and Technology, Devi Ahilya Vishwavidyalaya, Indore, Madhya Pradesh, India ABSTRACT Brain is an organ that regulates all parts of the body activities. Detection of glioma from MRI image was an important method in medical field. In order to better interpret the medical image segmentation is generally done as a fundamental step for further processing. This work proposed a segmentation algorithm for the MRI image in which the entire work was structured into two parts. The first section of the proposed model involved pre-processing of the MRI image through weiner filter that removes noise after that extraction of skull portion took place . In second section of the model, Bio-Geography algorithm was applied which takes brain portion of pre processed input MRI image. This genetic algorithm performs crossover and mutation operation as per immigration, emigration rate values. So pixel set selection for the non tumor and tumor segment get improved. Output of Bio-geographic genetic algorithm was cluster representing pixels which segment brain into the portion of the tumor and non tumor. Experiment was done on real dataset of MRI images. Result shows that proposed model has increased the detection accuracy rate by 4.22%, while precision was improved by 2.206%. Keywords: Digital Image processing, Image Segmentation, Brain tumor, Genetic Algorithm. Cite this Article: Ashish Kumar Dehariya and Pragya Shukla, Brain Cancer Prediction through Segmentation of Images using Bio-Geography Based Optimization, International Journal of Advanced Research in Engineering and Technology, 11(11), 2020, pp. 1727-1739. http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=11