Motion correction is a key element for imaging the fetal brain in-utero using Magnetic Resonance Imaging (MRI). Maternal breathing can introduce motion, but a larger effect is frequently due to fetal movement within the womb. Consequently, imaging is frequently performed slice-by-slice using single shot techniques, which are then combined into volumetric images using slice-to-volume reconstruct...

In this paper we present a new algorithm for computing Maximally Stable Extremal Regions (MSER), as invented by Matas et al. The standard algorithm makes use of a union-find data structure and takes quasi-linear time in the number of pixels. The new algorithm provides exactly identical results in true worst-case linear time. Moreover, the new algorithm uses significantly less memory and has bet...

In this article, a novel method for calculating the amount of flank wear that occurs during turning nickel-based superalloy Monel K500 is presented. order to determine how much worn-out insert has sustained, technique known as Modified MSER (Maximally Stable Extremal Regions) was applied it. particular piece research, algorithm referred Flank Net. When data generated by Flank-Net and analysed t...

Robots and intelligent agents are becoming more important everyday. Human Robot Interaction (HRI) plays an important role in developing algorithms to utilize intelligent agents for our help. One such example is the Roboceptionist project [1] developed at Carnegie Mellon University. The Roboceptionist is a robot receptionist that does a receptionist job in a socially appropriate manner. Such soc...

In this paper, we propose a novel adaptive reducedrank decision feedback (DF) receiver strategy based on the minimization symbol-error-rate (MSER) criterion for largescale multiple-antenna systems. In this strategy, a reduced-rank method for general parameter estimation using an adaptive joint and iterative preprocessing, decimation and filtering (JPDF) scheme is proposed for DF receive process...

The entries of high-dimensional measurements, such as image or feature descriptors, are often correlated, which leads to a bias in similarity estimation. To remove the correlation, a linear transformation, called whitening, is commonly used. In this work, we analyze robust estimation of the whitening transformation in the presence of outliers. Inspired by the Iteratively Re-weighted Least Squar...

Text detection and recognition in poor quality video is a challenging problem due to unpredictable blur and distortion effects caused by camera and text movements. This affects the overall performance of the text detection and recognition methods. This paper presents a combined quality metric for estimating the degree of blur in the video/image. Then the proposed method introduces a blind decon...