Color texture classification has been an area of intensive research activity. From the very
onset, approaches to combining color and texture have been the subject of much …

Proposed is an effective feature for colour image retrieval based on block truncation coding
(BTC) and vector quantisation (VQ). Each input colour image is decomposed into Y, Cb and …

This paper proposes a scenario for using CBIR (Content-Based Image Retrieval) in tourism
application. Several CBIR algorithms are studied and applied for the proposed application …

Every single day, millions of people worldwide create a vast amount of digital images and
the need to index and retrieve these images has become more than obvious. The majority of …

The paper concerns an open problem in the area of Content Based Image Retrieval (CBIR)
and presents an original method for noisy image data sets by applying an artificial immune …

In this paper, a novel low level feature for content based image retrieval is presented. The
proposed feature structure combines color and spatial color distribution information. The …

This paper proposed a scenario for using a CBIR (Content-Based Image Retrieval) system
in tourism application. Several CBIR algorithms are studied and applied for the proposed …

By photo-elasticity images we can show some features of the deformation and the strain on
a plastic film by external condition. This paper presents some preliminary studies of RGB …

This paper proposes a novel kind of graph-based features for image retrieval. For each color
image, we divide it into R, G, B component images. For each component image, we view the …

Color recognition is a vital yet challenging task in vehicle identification system as the vehicle
color is affected by various factors such as daylight illumination, shadows and reflection in …