The novel technique for image retrieval using the colortexture features extracted from
images based on vector quantization with Kekre's fast codebook generation is proposed …

The paper presents innovative content based image retrieval (CBIR) techniques based on
feature vectors as fractional coefficients of transformed images using DCT and Walsh …

The increasing research interest in global climate change and the rise of the public
awareness have generated a significant demand for new tools to support effective …

The paper discusses novel image retrieval methods based on shape features extracted
using gradient operators and slope magnitude technique with Block Truncation Coding …

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 …

Image retrieval is one of the most applicable image processing techniques, which has been
used extensively. Feature extraction is one of the most important procedures used for …

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 …

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 …

The paper presents improved content based image retrieval (CBIR) techniques based on
multilevel Block truncation coding using multiple threshold values. Block truncation Coding …

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 …