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.