With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …

Automatic liver and tumour segmentation in CT images are crucial in numerous clinical
applications, such as postoperative assessment, surgical planning, and pathological …

Image texture description and analysis technology are the basis of many practical
applications in pattern recognition. This paper presents a novel and simple, yet powerful …

The rapidly increasing number of digital images requires effective retrieval. Meanwhile, the
dominant color descriptor has been widely used in image processing. Due to the influence …

In this paper, a simple feature fusion scheme is proposed for content-based image retrieval
(CBIR) using color, texture and shape feature moments. The low dimensional feature …

In this paper, we propose a novel descriptor called spatially weighted order binary pattern
(SWOBP) for color texture classification. The SWOBP descriptor not only encodes color …

Abstract Content Based Image Retrieval (CBIR) focuses on retrieving images from
repositories based on visual features extracted from the images. Texture and colour are one …

Active contour models (ACMs) are popular and widely used for many image segmentation
applications and obtain promising results. However, these methods are unable to achieve …

Local binary pattern (LBP) has already been proved to be a powerful measure of image
texture with fixed sampling scheme: all P neighbor pixels in a single-scale are usually …

The performance of any content-based image retrieval (CBIR) system depends on the
quality and importance of the extracted features. Those extracted features like texture …