3D reconstruction pipelines using structure-from-motion and multi-view stereo techniques are today able to reconstruct impressive, large-scale geometry models from images but do not yield textured results. Current texture creation methods are unable to handle the complexity and scale of these models. We therefore present the first comprehensive texturing framework for large-scale, real-world 3D...

In this paper, Gaussian and elliptic high pass filters are analyzed for image sharpening qualitatively and quantatively . The filters are implemented in frequency domain using matlab software. Experiments are performed to compare the performance of both the filters ,processed images are presented. The results demonstrate that elliptic yields better results.

Introduction: There has been a rising interest in combining parallel imaging (PI) [1,2] with compressed sensing (CS) [3] to achieve high acceleration and reduce the noise amplification that comes from traditional PI reconstruction (e.g. SENSE[1], GRAPPA[2], etc). Existing approaches are: (a) sequentially apply PI and CS [4]; (b) sequentially apply CS and PI [5]; (c) simultaneously apply PI and ...

The classification of irregularly sampled Satellite image time-series (SITS) is investigated in this paper. A multivariate Gaussian process mixture model proposed to address the irregular sampling, nature and scalability large data-sets. spectral temporal correlation handled using a Kronecker structure on covariance operator process. allows both for imputation missing values. Experimental resul...

In this paper, Gaussian and elliptic high pass filters are analyzed for image sharpening qualitatively and quantatively . The filters are implemented in frequency domain using matlab software. Experiments are performed to compare the performance of both the filters ,processed images are presented. The results demonstrate that elliptic yields better results.

Title of Document: DIFFUSION KURTOSIS MAGNETIC RESONANCE IMAGING AND ITS APPLICATION TO TRAUMATIC BRAIN INJURY Jiachen Zhuo, Doctor of Philosophy, 2011 Directed By: Professor Jonathan Z. Simon Department of Electrical and Computer Engineering Diffusion tensor imaging (DTI) is a popular magnetic resonance imaging technique that provides in vivo information about tissue microstructure, based on t...

For the assessment of the left ventricle (LV), echocardiography has been widely used to visualize and quantify geometrical variations of LV. However, echocardiographic image itself is not sufficient to describe a swirling pattern which is a characteristic blood flow pattern inside LV without any treatment on the image. We propose a mathematical framework based on an inverse problem for three-di...

Optical imaging is an emerging modality to image biological tissue non-invasively. Its use for brain imaging function is known as functional Near Infrared Spectroscopy (fNIRS). Its use as a functional neuroimaging modality demands attending numerous factors many which are still being investigated. One of these factors is the image reconstruction, particularly critical for brain understanding. T...

texture image analysis is one of the most important working realms of image processing in medical sciences and industry. up to present, different approaches have been proposed for segmentation of texture images. in this paper, we offered unsupervised texture image segmentation based on markov random field (mrf) model. first, we used gabor filter with different parameters’ (frequency, orientatio...

Cine MRI (amplitude image and phase contrast image) has been used to represent the blood flow velocity on the aortic aneurysm. Acquisition of images taken perpendicular to the abdominal aorta is done in free breathing and breath hold at the specified location as needed. Active Contour method or Snake (Deformable Model) has been used to perform automatic contour on amplitude image to detect the ...