Vision-based applications deal with the degraded quality of images due to bad environment.
During the bad environment, particles such as haze, fog, and mist, etc. diminish the clarity of …

Featured Application The present work has application in the field of galvanic coating for the
fashion industry by proposing a method and a machine able to count the number of items …

Inventory management in an automated industrial environment is the foremost requirement
in order to shorten the gap between demand and supply. It comprises of object identification …

This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing
and non-uniform illumination enhancement. In this book, various image enhancement …

Computer vision-based real-time applications demand robust image matching approaches
due to disparity in images. This can be achieved using descriptor vector with scale and …

This chapter presents a single image dehazing method employing a Type-2 membership
function based similarity function matrix. The approach involves estimating the depth map …

This chapter presents the introduction of an Adaptive Interval Type-2 Fuzzy Filter. This filter
is presented as one of the artificial intelligence agents for the preservation of naturalness in …

In the previous chapter, the unsupervised image dehazing method was explained, which
deals with over-saturation challenges. This chapter delves into a detailed exploration of the …

This chapter introduces an image enhancement approach utilizing the Z-score for images
captured under hazy and non-uniform illumination conditions, with a focus on applications in …

Artificial Intelligence (AI) has introduced a range of effective image processing tools that play
a pivotal role in fortifying vision-based applications. The success of these applications …