Genetic algorithm and self organizing map based fuzzy hybrid intelligent method for color image segmentation
A novel genetic algorithm based on spatial fuzzy C-mean (sFCM) method has been proposed to make compact and well separated clusters. Fuzzy separation and global compactness are considered the two objective functions to be optimized simultaneously. The self organizing map (SOM) is used to automatically determine the optimal number of clusters in order to set the length of chromosome. A progressive technique is used to handle the initialization problem. The algorithm considers some small parts of an image as separate segments which leads to over-segmentation. A novel merging technique is proposed to address the over-segmentation problem.
fuzzy segmentation segmentation self organizing map (som) genetic algorithm (ga) centroid segment