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 …

Smart imaging devices have been used at a rapid rate in the agriculture sector for the last
few years. Fruit recognition and classification is noticed as one of the looming sectors in …

Abstract Background and Objectives: Image segmentation represents one of the most
challenging issues in medical image analysis to distinguish among different adjacent tissues …

To solve the problem of simultaneously estimating the illumination and reflectance (IR) from
a single image based on the Retinex theory, an effective way is utilizing a Maximum-a …

With an advancement in artificial intelligence (AI) applications, the use of smart imaging
devices has been increased at a rapid rate. Recently, many researchers have utilized deep …

A new fuzzy procedure for adaptive gray-level image contrast enhancement (CE) is
presented in this paper. Starting from the pixels belonging to a normalized gray-level image …

This paper describes two methods for enhancement of edge and texture of medical images.
In the first method optimal kernel size of range filter suitable for enhancement of liver and …

Fruit image classification is an ill‐posed problem. Many machine learning techniques have
been developed until now to improve the classification problem of fruit images. However, the …

In this article, we have proposed a novel mammogram image enhancement approach for
visual interpretation of breast masses using an adaptive intuitionistic fuzzy divergent …

Images taken in poor environmental conditions decrease the visibility and hidden
information of digital images. Therefore, image enhancement techniques are necessary for …