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 …

Due to the importance of image edge detection in image analysis, object recognition and
many applications, many edge detection algorithms are used to detect edges of objects in …

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 …

Magnetic Resonance Imaging (MRI) is the state-of-the-art medical imaging technology
which allows cross sectional view of the body with unprecedented tissue contrast. MRI plays …

In this paper we are proposing K-means algorithm for optimization of codebook. In general K-
means is an optimization algorithm but this algorithm takes very long time to converge. We …

Segmenting a MRI images into homogeneous texture regions representing disparate tissue
types is often a useful preprocessing step in the computer-assisted detection of breast …

The new technique for image retrieval using the color-texture features extracted from images
based on vector quantization with Kekre's fast codebook generation is proposed. This gives …

In this paper we introduce vector quantization based segmentation approach that is
specifically designed to segment low-altitude, high resolution, aerial images, as a …

Vector Quantization is lossy data compression technique and has various applications. Key
to Vector Quantization is good codebook. Once the codebook size is fixed then for any …