Image segmentation plays a vital role in MRI abnormality detection. This paper presents a robust MRI segmentation method to outline potential abnormality blobs. Thresholding and boundary tracing strategies are employed to remove background noises, and hence, the ROIs in the whole process are set. Subsequently, a polyfit surface evolution is proposed to approximately estimate bias field, which m...

Non Uniform Illumination in an image often leads to diminished structures and inhomogeneous intensities due to different texture of the object surface and shadows cast from different light source directions. It is one of the most important factors affecting the appearance of an image, more adverse in case of biological images. Various techniques such as segmentation, edge detection and contrast...

Introduction: Phase images of the brain generated using gradient echo sequences at high field strength show excellent contrast attributed to small field perturbations produced by susceptibility differences between tissues. In order to reveal the small phase variations related to the local anatomy it is however necessary to eliminate the large field offsets caused by remote tissue/air interfaces...

background and purpose:organic dyes with a complex structure are often toxic, carcinogenic, mutagenic, non-biodegradation and stable in the environment and if released to the environment without treatment can endanger the environment and human health. the aim was to evaluate the performance nanoscalezero-valent iron (nzvi) in the removal of dye acid red 18 (ar18) from aqueous solutions. materia...

ABSTARCT: The main objective of this project is to develop multiple human object tracking approach based on motion estimation and detection, background subtraction, shadow removal and occlusion detection. A reference frame is initially used and considered as background information. While a new object enters into the frame, the foreground information and background information are identified usi...

We describe our approach to segmenting moving objects from the color video data supplied by a nominally stationary camera. There are two main contributions in our work. The first contribution augments Zivkovic and Heijden’s recursively updated Gaussian mixture model approach, with a multidimensional Gaussian kernel spatio-temporal smoothing transform. We show that this improves the segmentation...

NMR ligand-affinity screens are vital to drug discovery, are routinely used to screen fragment-based libraries, and used to verify chemical leads from high-throughput assays and virtual screens. NMR ligand-affinity screens are also a highly informative first step towards identifying functional epitopes of unknown proteins, as well as elucidating the biochemical functions of protein-ligand inter...

A modified bi-dimensional empirical mode decomposition (BEMD) method is proposed for sparsely decomposing a fringe pattern into two components, namely, a single intrinsic mode function (IMF) and a residue. The main idea of this method is a modified sifting process which employs morphological operations to detect ridges and troughs of the fringes, and uses weighted moving average algorithm to es...

Diagnostically lossless compression techniques are essential in archival and communication of medical images. In this paper, an automated wavelet-based background noise removal method, i.e. diagnostically lossless compression method, is proposed. First, the wavelet transform modulus maxima procedure produces the modulus maxima image which contains sharp changes in intensity that are used to loc...

The interpretation of ultrasonic B-Scan images can be a time consuming process, its success is also very dependant on operator skill sand experience [1]. Removal of the image background will potentially improve its quality and hence improve operator diagnosis. An automatic background noise removal algorithm is proposed enabling the highlighting of defects and aiding the operator in the location...