The explosion of the digitisation of traditional industrial processes and procedures is
consolidating a positive impact on modern society by offering a critical contribution to its …

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 …

This paper proposes a vision based novel approach for real-time object counting. The
proposed approach uses the textural information for object counting. Speeded up robust …

It is a known fact that infrared radiation is produced by all objects with a temperature above
absolute zero. In fruits, IR light sensor senses the invisible areas and exposes obscure …

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 applications in outdoor environment are mainly affected by factors such as
pollution, clouds, shadow, haze, fog. Herein, an algorithm for real-time haze detection and …

Herein, an approach is presented to count objects in an image with different viewpoints. The
multiple views of prototype have been used to get the viewpoint invariance in Speeded Up …

This paper presents a vision-based approach for heritage image classification and condition
monitoring to preserve the historical facts. The proposed approach uses convolutional …

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 …