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 …

Medical images play an important role in the hospital diagnosis and treatment, which
include a lot of valuable medical information. Manually annotated viewing is obviously not …

In image classification and retrieval applications, images are represented by a set of
features. These features are extracted from both spatial and wavelet transformed input …

In this paper, a handcrafted feature descriptor namely Local Extrema Min–Max Pattern
(LEMMP) is introduced for static hand gesture recognition (HGR). LEMMP thoroughly …

Neurological disorders affect the brain, spine and nervous system. Many neurological
disorders result in substantial morbidity, therefore early and accurate diagnosis is necessary …

Artificial intelligence techniques for image pattern recognition and retrieval are pivotal in
various applications, particularly in medical imaging. Despite numerous existing methods …

The advent of low-cost cameras and smartphones have made the task of image capturing
quite easy nowadays. This has resulted in the collection of large number of unorganized …

Content-based image retrieval (CBIR) has become one of the trending areas of research in
computer vision. In this paper, consonance on hue, saturation, and intensity is used by …

An image can be represented by different types of feature descriptors. Each descriptor holds
specific details about the image. The image classification and retrieval applications use …

In recent decades, the exponential growth of information has led to the need of its proper
organization and indexing. A huge amount of information being available in various forms is …