Purpose In the past few decades, the content-based image retrieval (CBIR), which focuses
on the exploration of image feature extraction methods, has been widely investigated. The …

This paper deals with a new low level feature that is extracted from the images and can be
used for indexing and retrieval. This feature is called “Color and Edge Directivity Descriptor” …

This paper deals with the extraction of a new low level feature that combines, in one
histogram, color and texture information. This feature is named FCTH-Fuzzy Color and …

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 …

We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid
in medical fields. In the proposed system, images are indexed in a generic fashion, without …

For detecting the image copies of a given original image generated by arbitrary rotation, the
existing image copy detection methods can not simultaneously achieve desirable …

In recent years, the robotics community has extensively examined methods concerning the
place recognition task within the scope of simultaneous localization and map** …

In this paper a new set of descriptors appropriate for image indexing and retrieval is
proposed. The proposed descriptors address the tremendously increased need for efficient …

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 …

This paper describes the modeling approaches used for the Subfigure Classification subtask
at ImageCLEF 2016 by the FHDO Biomedical Computer Science Group (BCSG). Besides …