A Novel Approach of Residue Neutrosophic Technique for Threshold Based Image Segmentation

Abstract

The Residue Neutrosophic Set (RNS) is a new idea in image additional pixel level. Our idea is
to make an analysis based on the additional pixel amount. In recent decades, computer vision has revolutionized image analysis by researchers. Image segmentation is a more investigated topic in the science of computer
vision. Neutrosophic is a sophisticated mathematical idea to solve a myriad of challenges. The objective is to
invent a neutrosophic technique to execute image thresholding. In the article, the residue methodology was
applied, which denotes the residual values of neutrosophic membership intensities. This article will explore a
novel idea for image thresholding termed RNS. There will be three types of RNS techniques: minimum, average,
and maximum. The concepts of existing thresholding techniques in neutrosophic solvation are considered in
this proposal. This article adopts novel methodologies to provide an integrated visionary path segmentation
methodology. Furthermore, the proposed technique reaches a better average accuracy score.