With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …

Image retrieval is one of the hot research topics in computer vision which has been paid
much attention by researchers in the last decade. Image retrieval refers to retrieving more …

Retrieving unsafe behaviours from an existing digital database can provide managers and
the like with the necessary information to put in place strategies to improve safety in …

The defocus or motion effect in images is one of the main reasons for the blurry regions in
digital images. It can affect the image artifacts up to some extent. However, there is a need …

Social media platforms such as Twitter, Facebook, and Flicker, and the evolution of digital
image capturing devices have resulted in the generation of a massive number of images …

Content based image retrieval (CBIR) systems enable a quick retrieval of similar images
from a large digital repository. However, the performance of the system is heavily reliant on …

Abstract Content Based Image Retrieval (CBIR) focuses on retrieving images from
repositories based on visual features extracted from the images. Texture and colour are one …

Content based image retrieval (CBIR) systems provide a faster way to retrieve images by
representing them in terms of their visual contents. In this paper, a novel texture feature …

In the domain of computer vision, the efficient representation of an image feature vector for
the retrieval of images remains a significant problem. Extensive research has been …

Neither a single local feature nor a single global feature can completely characterize image
information, and fusion of two or more complementary features can effectively improve …