We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

The classical hypothesis, that bottom-up saliency is a center-surround process, is combined
with a more recent hypothesis that all saliency decisions are optimal in a decision-theoretic …

The advent of architectures such as the Internet of Things (IoT) has led to the dramatic
growth of data and the production of big data. Managing this often-unlabeled data is a big …

Estimating power system states accurately is crucial to the reliable operation of power grids.
Traditional weighted least square (WLS) state estimation methods face the rising threat of …

In this paper, we propose a novel image indexing and retrieval algorithm using local tetra
patterns (LTrPs) for content-based image retrieval (CBIR). The standard local binary pattern …

We present an image retrieval system for the interactive search of photo collections using
free-hand sketches depicting shape. We describe Gradient Field HOG (GF-HOG); an …

This Lecture book is about objective image quality assessment—where the aim is to provide
computational models that can automatically predict perceptual image quality. The early …

Background and objectives The present study proposes an intelligent system for automatic
categorization of Pap smear images to detect cervical dysplasia, which has been an open …

In this paper, a two-step automatic change detection chain for rapid flood map** based on
Sentinel-1 Synthetic Aperture Radar (SAR) data is presented. First, a reference image is …

The contourlet transform is a new two-dimensional extension of the wavelet transform using
multiscale and directional filter banks. The contourlet expansion is composed of basis …