A novel image indexing algorithm for Content Based Image Retrieval (CBIR) using Local
Energy Oriented Patterns (LEOP) is proposed in this paper. LEOP encodes pixel level …

Authors have proposed novel multi-dimensional multi-directional mask maximum edge
patterns for the bio-medical image retrieval. Standard local binary patterns encode …

Content-based image retrieval (CBIR) became an energetic research field in engineering
and medical field. In this work, local directional gradient based feature learning approach for …

Dicom Images play important role in everyday life. Healthcare is the most important urge of
human being. Bio-Medical domain has adopted imaging system to identify, analyze and …

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 …

Content based image retrieval (CBIR) has been a thrust area of research to retrieve relevant
images quickly from a huge image database. In this pursuit, a low dimensional multi-block …

An effective extraction of image features is very important in Content based image retrieval
(CBIR). This paper presents a new CBIR scheme based on optimized combination of two …

To visualize the brain anatomy and to understand its functioning in non-invasive manner,
magnetic resonance imaging (MRI) is one of the widely used imaging modality. Computer …

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 …