The aim of digital image processing is to improve the quality of image and subsequently to
perform features extraction and classification. It is effectively used in computer vision …

Microscopic thin section images are a major source of information on physical properties,
crystallization processes, and the evolution of rocks. Extracting the boundaries of grains is of …

A lot of video content shared over the Internet have some problems, among which are the
authentication and multimedia protection. The chapter provides a detailed overview of the …

Large size high resolution (HR) satellite image matching is a challenging task due to local
distortion, repetitive structures, intensity changes and low efficiency. In this paper, a novel …

Due to its Lagrangian nature, Smoothed Particle Hydrodynamics (SPH) has been used to
solve a variety of fluid-dynamic processes with highly nonlinear deformation such as debris …

The available literature on parallel and distributed image processing is scattered and not
organized for use to beginners. Thus, there is a need of concise understanding of parallel …

Abstract RANSAC (RAndom SAmple Consensus) is an iterative method for estimating the
parameters of a certain mathematical model from a set of data which may contain a large …

Sparse reconstruction is used to solve the inverse problem of single image super‐resolution
(SR) as a patch‐based sparsity promoting regularisation problem. A coupled trained …

In recent years, the widespread adoption of parallel computing, especially in multi-core
processors and high-performance computing environments, ushered in a new era of …

The purpose of our study is to analyze whether the Bansiya and Davis quality models also
reflect the ongoing stability of a software design in software developed using a highly …