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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

The generation and comparison of multispectral synthetic textures /

Rose, Robert A. January 1994 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 1994. / Typescript. Includes bibliographical references.

A Monte-Carlo-based simulation of jet exhaust nozzle thermal radiative signatures /

Chapman, David D. January 1992 (has links)
Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1992. / Vita. Abstract. Includes bibliographical references (leaves 76-79). Also available via the Internet.

Nondestructive and destructive evaluation of FRP composite wrapped concrete cylinders with embedded debonds

Dutta, Shasanka Shekhar. January 2010 (has links)
Thesis (Ph. D.)--West Virginia University, 2010. / Title from document title page. Document formatted into pages; contains xxiii, 184 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 134-138).

Integrating visible, near infrared and short wave infrared hyperspectral and multispectral thermal imagery for geological mapping at Cuprite, Nevada

Chen, Xianfeng, January 1900 (has links)
Thesis (Ph. D.)--West Virginia University, 2005. / Title from document title page. Document formatted into pages; contains vii, 117 p. : ill. (some col.). Includes abstract. Includes bibliographical references.

The incorporation of atmospheric variability into DIRSIG /

Dobbs, Brian M. January 2006 (has links)
Thesis (M.S.)--Rochester Institute of Technology, 2006. / Typescript. Includes bibliographical references (p. 189).

Thermal Imaging As A Biometrics Approach To Facial Signature Authentication

Guzman Tamayo, Ana M 07 November 2011 (has links)
This dissertation develops an image processing framework with unique feature extraction and similarity measurements for human face recognition in the mid-wave infrared portion of the electromagnetic spectrum. The goal is to design specialized algorithms that would extract vasculature information, create a thermal facial signature and identify the individual. The objective is to use such findings in support of a biometrics system for human identification with a high degree of accuracy and a high degree of reliability. This last assertion is due to the minimal to no risk for potential alteration of the intrinsic physiological characteristics seen through thermal imaging. Thermal facial signature authentication is fully integrated and consolidates the main and critical steps of feature extraction, registration, matching through similarity measures, and validation through the principal component analysis. Feature extraction was accomplished by first registering the images to a reference image using the functional MRI of the Brain’s (FMRIB’s) Linear Image Registration Tool (FLIRT) modified to suit thermal images. This was followed by segmentation of the facial region using an advanced localized contouring algorithm applied on anisotropically diffused thermal images. Thermal feature extraction from facial images was attained by performing morphological operations such as opening and top-hat segmentation to yield thermal signatures for each subject. Four thermal images taken over a period of six months were used to generate a thermal signature template for each subject to contain only the most prevalent and consistent features. Finally a similarity measure technique was used to match images to the signature templates and the Principal Component Analysis (PCA) was used to validating the results of the matching process. Thirteen subjects were used for testing the developed technique on an in-house thermal imaging system. The matching using the similarity measures showed 88% accuracy in case of skeletonized feature signatures and 90% accuracy for anisotropically diffused feature signatures. The highly accurate results obtained in the matching process along with the generalized design process clearly demonstrate the ability of the developed thermal infrared system to be used on other thermal imaging based systems and related databases.

Studying Short-Period Comets and Long-Period Comets Detected by WISE/NEOWISE

Kramer, Emily 01 January 2014 (has links)
The Wide-field Infrared Survey Explorer (WISE) mission surveyed the sky in four infrared wavelength bands (3.4, 4.6, 12 and 22 μm) between January 2010 and February 2011. During the mission, WISE serendipitously observed 160 comets, including 21 newly discovered objects. About 89 of the comets observed by WISE displayed a significant dust tail in the 12 and 22 μm (thermal emission) bands, showing a wide range of activity levels and dust morphology. Since the observed objects are a mix of both long-period comets (LPCs) and short-period comets (SPCs), differences in their activity can be used to better understand the thermal evolution that each of these populations has undergone. For the comets that displayed a significant dust tail, we have estimated the sizes and ages of the particles using dynamical models based on the Finson-Probstein method [Finson and Probstein, 1968]. For a selection of 40 comets, we have then compared these models to the data using a novel tail-fitting method that allows the best-fit model to be chosen analytically rather than subjectively. For comets that were observed multiple times by WISE, the particle properties were estimated separately, and then compared. We find that the dust tails of both LPCs and SPCs are primarily comprised of ~mm-cm sized particles, which were the result of emission that occurred several months to several years prior to the observations. The LPCs nearly all have strong emission close to the comet*s perihelion distance, and the SPCs mostly have strong emission close to perihelion, but some have strong emission well before perihelion.

Using Thermography to Monitor Inflammation as a Non-Invasive Supplementary Diagnostic Tool for Mild Traumatic Brain Injury in a Sprague Dawley Rat Model

Jensen, Sonja Anne 08 December 2017 (has links)
Incurring high economic cost due to medical imaging modalities, there is a need for a low-cost, on site, diagnostic screening tool for the early detection of Traumatic Brain Injury (TBI). We hypothesize that patients with TBI will exhibit temporal and spatial gradient dynamics in the thermal signature on the surface of the skin, and that these dynamics reflect the inflammatory process. Hence, we implemented far-infrared (FIR) thermography using a blunt TBI rat model to analyze changes in the external, surface temperature gradient as an indication of internal inflammation. Results show a consistent increase in average surface temperature after 0.5 days of recovery post-impact. The trend in average surface temperature decreases after 1 day of recovery with a continual decline observed after a 4-day recovery. After 7 days of recovery, the average surface temperature begins to increase with a substantial surge seen 14 days post-impact. The trend appears to correlate well with the inflammatory process.

Image degradation due to diffraction, reflection, and scattering in an optical system

Zadnik, Jerome A. January 1987 (has links)
The focal plane power distribution due to a bright source is analyzed for an infrared imaging optical system. Irradiance from the bright source is spread throughout the focal plane according to the characteristics of the system. This effect is attributed to diffraction, reflection and scattering in the optical train. Expected focal plane power distributions due to diffraction and multiple reflections between dielectric surfaces are calculated and compared to measured data. The difference is attributed to scatter characteristics of the optical elements. A brief overview of the major sources of scatter lays groundwork for a further analysis of scattering characteristics in the optical system. / Master of Science

Optimizing Emerging Healthcare Innovations in 3D Printing, Nanomedicine, and Imageable Biomaterials

Reese, Laura Michelle 05 January 2015 (has links)
Emerging technologies in the healthcare industry encompass revolutionary devices or drugs that have the potential to change how healthcare will be practiced in the future. While there are several emerging healthcare technologies in the pipeline, a few key innovations are slated to be implemented clinically sooner based on their mass appeal and potential for healthcare breakthroughs. This thesis will focus on specific topics in the emerging technological fields of nanotechnology for photothermal cancer therapy, 3D printing for irreversible electroporation applications, and imageable biomaterials. While these general areas are receiving significant attention, we highlight the potential opportunities and limitations presented by our select efforts in these fields. First, in the realm of nanomedicine, we discuss the optimization and characterization of sodium thiosulfate facilitated gold nanoparticle synthesis. While many nanoparticles have been examined as agents for photothermal cancer therapy, we closely examine the structure and composition of these specific nanomaterials and discuss key findings that not only impact their future clinical use, but elucidate the importance of characterization prior to preclinical testing. Next, we examine the potential use of 3D printing to generate unprecedented multimodal medical devices for local pancreatic cancer therapy. This additive manufacturing technique offers exquisite design detail control, facilitating tools that would otherwise be difficult to fabricate by any other means. Lastly, in the field of imageable biomaterials, we demonstrate the development of composite catheters that can be visualized with near infrared imaging. This new biomaterial allows visualization with near infrared imaging, offering potentially new medical device opportunities that alleviate the use of ionizing radiation. This collective work emphasizes the need to thoroughly optimize and characterize emerging technologies prior to preclinical testing in order to facilitate rapid translation. / Master of Science

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