Split/Merge and Chromosome Encoding Model of Genetic Algorithm For Image Segmentation & Optimization

Mansoor Farooq


The present paper focuses on image segmentation by the implementation of the split/merge approach which involves k-means clustering algorithm and proficient chromosome encoding model of Genetic Algorithm for merging. The input for a segmentation algorithm is an image that is converted to a gray-level intensity image through the preprocessing techniques and optimized according to some predefined quality measures. In order to optimize the image, an evolutionary computation algorithm is utilized.

Keywords: Image Segmentation, Genetic Optimization, Genetic Algorithm, K-means Clustering Algorithm and Split/Merge approach

Full Text:


DOI: https://doi.org/10.26483/ijarcs.v6i2.2424


  • There are currently no refbacks.

Copyright (c) 2016 International Journal of Advanced Research in Computer Science