Abstract In Magnetic Resonance Imaging (MRI), the poor quality images may not provide the
sufficient information for the visual interpretation of the affected locations of human body. So …

Fruit classification is found to be one of the rising fields in computer and machine vision.
Many deep learning-based procedures worked out so far to classify images may have some …

We proposed the Retinex-based fast algorithm (RBFA) to achieve low-light image
enhancement in this paper, which can restore information that is covered by low illuminance …

Abstract Machine and deep learning applications play a dominant role in the current
scenario in the agriculture sector. To date, the classification of fruits using image features …

As a generalization of fuzzy sets, intuitionistic fuzzy sets (IFSs) are more capable of
representing and addressing uncertainty in real-world problems. As a result, IFSs have been …

This paper explains the idea of t-intuitionistic fuzzy graphs as a powerful way to analyze and
display relationships that are difficult to understand. The article also illustrates the ability of t …

A well-researched field is the development of Computer Aided Diagnosis (CADx) Systems
for the benign-malignant classification of abnormalities detected by mammography. Due to …

This paper presents a novel enhancement technique for low light grayscale images. The
main goal of this work is to enhance the visual quality and improve the information contents …

The problem of maternal complications is prevalent in developing nations. Every pregnant
woman is entitled to good reproductive health to enhance safe delivery. In this work, we …

To imitate the uncertainty and ambiguity in various decision-making problems, the T-
spherical fuzzy set is more pragmatic and influential than the picture fuzzy set and q-rung …