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 records generated in hospitals are treasures for academic research and future
references. Medical Image Retrieval (MIR) Systems contribute significantly to locating the …

Local feature descriptors are efficient encoders for capturing repeated local patterns in many
of the computer vision applications. Majority of such descriptors consider only limited local …

Abstract Content-Based Image Retrieval is an accurate characterization of visual information
used for medical and natural image classification, retrieval, face recognition, etc. In recent …

This paper proposes an Image Retrieval model using Multiple Feature Sets and Arti cial
Neural Network (IR-MFS-ANN), where the multiple features Histogram of oriented Gradient …

Increase in the use of mobile phones for scene capturing turns into the exponential increase
in the size of digital libraries. Content-Based Image Retrieval (CBIR) is an effective solution …

Diabetic retinopathy (DR) is a prevailing disease that causes blindness among diabetic
patients. The timely intervention with the regular fundus photography screening is the …

This paper proposes an Image Retrieval model using Multiple Feature Sets and Arti cial
Neural Network (IR-MFS-ANN), where the multiple features Histogram of oriented Gradient …

Breast Cancer is the most prevalent cancer among women across the globe. Objective of the
Computer Aided Diagnosis (CAD) in breast cancer analysis is to detect the tumorous mass …

Content-based image retrieval (CBIR) is an accurate characterization of visual information.
In this paper, we have proposed a new technique entitled as Transformed Directional Tri …