Reduction of indeterminacy of gray-scale image in bipolar neutrosophic domain

Neutrosophy is a branch of philosophy introduced by Florentin Smarandache.
Neutrosophic set (NS) is the derivative of neutrosophy; it is a powerful tool to handle uncertainty.
Here we applied neutrosophic set to gray scale image domain for image analysis. Several authors
contributed in neutrosophic image analysis and image processing. We propose a novel approach
on representation of grayscale images in bipolar neutrosophic domain (BNS). The reduction of
noise in images is one of the challenging task in every field. While we transform a grayscale image
into bipolar neutrosophic domain, the indeterminacy degree of both positive and negative
memberships are reduced significantly. Indeed, we extract some useful information from
indeterminacy domain; it leads to perform image analysis and processing in noisy images in a
better manner. We discuss the representation of medical images in bipolar neutrosophic domain
with examples.