A novel image segmentation algorithm based on neutrosophic similarity clustering
This paper proposed a novel algorithm to segment the objects on images with or without noise. Neutrosophic similarity function is defined to describe the uncertain information on images. A novel objective function is defined using neutrosophic similarity function and the new defined clustering algorithm classifies the pixels on the image into different groups.
image segmentation similarity function clustering analysis neutrosophic set