A new image feature description based on the local wavelet pattern (LWP) is proposed in
this paper to characterize the medical computer tomography (CT) images for content-based …

Content-based image retrieval (CBIR) of medical images is a crucial task that can contribute
to a more reliable diagnosis if applied to big data. Recent advances in feature extraction and …

This paper presents the modelling approaches performed by the FHDO Biomedical
Computer Science Group for the compound figure detection and subfigure classification …

Most art paintings especially abstract art are created to evoke an emotional feeling in the
viewer. Colour as a dominant low-level feature plays a significant role in visual perception …

With the rapid growth of image database, content-based image retrieval (CBIR) technology
with its high value in theory and application has become a hot topic in the field of image …

A hybrid colour model is a colour descriptor formed by combining channels from several
different colour models. Although rarely used in computer graphics applications due to …

Efficiency and effectiveness of image retrieval (IR) system are based on the good
interpretation and integration of multimodal information. Research results in the recent years …

The paper approaches the binary signature for each image based on the percentage of the
pixels in each color images, at the same time the paper builds a similar measure between …

Content based image retrieval (CBIR) uses the visual contents to images with low level
features like color, shape, texture and spatial layout to represent and index the image …