Medical imaging performs a vital role in the medical field as it provides important information
on the internal body parts for the clinical analysis and medical intervention which enables …

This paper contributes a new variant of multi-trend structure descriptor (MTSD) for efficient
content based image retrieval. The proposed variant of MTSD encodes color/edge …

The ability of any retrieval system to extract features by using its feature descriptor is the
primary criterion to measure its efficiency. In this paper a novel technique for feature …

This paper proposes a new pattern descriptor called directional local ternary quantized
extrema pattern (DLTerQEP) for biomedical image indexing and retrieval. The standard local …

The rapid growth of digital image collections has prompted the need for development of
software tools that facilitate efficient searching and retrieval of images from large image …

Biomedical image retrieval is a crucial side of computer-aided diagnosis. It helps the
radiologist and medical specialist to spot and perceive the specific disease. This paper …

Image texture analysis is a dynamic area of research in computer vision and image
processing, with applications ranging from medical image analysis to image segmentation to …

The use of medical imaging has increased manifold in past decade. The medical images
have become more and more informative about the patient's anatomy. Thus, the medical …

A new image feature vector named, local color oppugnant quantized extrema pattern
(LCOQEP) is proffered in this paper. In the proposed method, color-texture information …

Despite extensive research on content-based image retrieval, challenges such as low
accuracy, incapability to handle complex queries and high time consumption persist. Initially …