Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Ian R. Greenshields"'
Autor:
Ian R. Greenshields, Lili He
Publikováno v:
Biomedical Signal Processing and Control. 3:327-333
The paper presents a method for spatial fuzzy clustering (SFC) via Markov Random Fields (MRF) for the detection of brain activation regions in Functional Magnetic Resonance Imaging (fMRI) statistical parametric maps (SPMs) to improve the accuracy of
Autor:
Ian R. Greenshields
Publikováno v:
Image and Vision Computing. 18:1-7
We describe an approach to the computation of the planar or volumetric maximal directional derivative (gradient) of a multispectral or hyperspectral image. We show that the planar multispectral case has an immediate solution. For the non-planar (volu
Autor:
Ian R. Greenshields, Joel A. Rosiene
Publikováno v:
Pattern Recognition. 31:839-845
The paper describes the role of the standard wavelet decomposition in computing a fast Karhunen–Loeve transform. The standard wavelet decomposition (which we show is different from the conventional wavelet transform) leads to a highly sparse and si
Autor:
Ian R. Greenshields, Gamal A. El-Sayed
This chapter introduces some aspects of visualization and the grid. Visualization --the art and science of representing data visually-- is now recognized as an equal partner in the conduct of science via the simulation and modeling paradigm. Although
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bc0a3d383d0a6de2f00b850c58eb38a
https://doi.org/10.4018/978-1-4666-0879-5.ch710
https://doi.org/10.4018/978-1-4666-0879-5.ch710
Autor:
Ian R. Greenshields, Lili He
Publikováno v:
IEEE transactions on medical imaging. 28(2)
Postacquisition denoising of magnetic resonance (MR) images is of importance for clinical diagnosis and computerized analysis, such as tissue classification and segmentation. It has been shown that the noise in MR magnitude images follows a Rician di
Autor:
Sanguthevar Rajasekaran, Ian R. Greenshields, Krishna R. Pattipati, Reda A. Ammar, Steven A. Demurjian
Publikováno v:
Emergent Information Technologies and Enabling Policies for Counter-Terrorism
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6e7c22f628dcf6bcaeed10b7a00268c
https://doi.org/10.1002/047178656x.ch5
https://doi.org/10.1002/047178656x.ch5
Autor:
Sanguthevar Rajasekaran, L. He, Ian R. Greenshields, Steven A. Demurjian, Reda A. Ammar, Thuong Doan
Publikováno v:
2006 IEEE Aerospace Conference.
Data reduction is a critical problem for counter-terrorism; large collections of documents must be analyzed and processed, raising issues related to performance, lossless reduction, polysemy (the meaning of individual words being influenced by their
Publikováno v:
2006 World Automation Congress.
Prevention of failures in track has continued to be a major railroad need. The problem is worsening, due to technical/cost limitations in inspection technology coupled with continuing increase in track usage/stress. Typically, railroads use an ultras
Publikováno v:
Proceedings of 40th Midwest Symposium on Circuits and Systems. Dedicated to the Memory of Professor Mac Van Valkenburg.
Three dimensional microscope imagery has unavoidable blurring due to out-of-focus and convolutional effects that inhibit resolution of submicron detail in biological cells. In this study, a three dimensional FIR filter is used to adaptively inverse m
Autor:
M. Song, Reda A. Ammar, Thuong Doan, Sanguthevar Rajasekaran, Steven A. Demurjian, Amal Abdel-raouf, Ian R. Greenshields, J. Lian, Abdulghani Mohamed
Publikováno v:
2005 IEEE Aerospace Conference.
In this paper we present a survey of techniques and strategies that can be utilized to process high-volumes of data in support of counter-terrorism. Data reduction is a critical problem for counter-terrorism; there are large collections of documents