Computed tomography (CT) imaging is an essential tool in various clinical diagnoses and
radiotherapy treatment planning. Since CT image intensities are directly related to positron …

A novel Integrated Curvelet-based image retrieval scheme (ICTEDCT-CBIR) has been
proposed, for the purpose of effectively retrieving more similar images from large digital …

Technological advances in digital imaging, broadband networking, and data storage have
motivated people to communicate and express by sharing images, video, and other forms of …

The paper presents novel Walshlet Pyramid based image retrieval techniques. Here content
based image retrieval (CBIR) is done using the image feature set extracted from Walshlets …

Content based classification approach is becoming necessary to support the retrieval and
indexing of images. This paper uses Color features of an image to form a feature vector on …

Success of image retrieval depends on performance and speed of the retrieval technique
used. Many techniques have already been proposed for content based image retrieval …

X-ray mammography is the most common investigation technique used by radiologists in the
screening, and diagnosis of breast cancer. The ability to improve diagnostic information from …

The paper presents new clustering algorithm. The proposed algorithm gives less distortion
as compared to well known Linde Buzo Gray (LBG) algorithm and Kekre's Proportionate …

Always the thrust for better and faster image retrieval techniques has nourished the research
in content based image retrieval. The paper presents 32 novel image retrieval techniques …

Content-based image retrieval (CBIR) is a technique to retrieve images on the basis of
image specific features such as colour [5, 17, 19], texture [11, 14, 16, 23] and shape [2, 4] …