Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Fast Computational Spectral Imaging with a Programmable Diffractive Lens
Date
2019-06-24
Author
Kar, Oğuzhan Fatih
Öktem, Sevinç Figen
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
205
views
0
downloads
Cite This
We develop a fast computational spectral imaging modality that utilizes a single programmable diffractive lens. The proposed optical configuration is simple and provides promising reconstruction performance for the three-dimensional spectral data cube.
URI
https://hdl.handle.net/11511/34651
DOI
https://doi.org/10.1364/cosi.2019.cth3a.3
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Fast and accurate semiautomatic haptic segmentation of brain tumor in 3D MRI images
Latifi-Navid, Masoud; Bilen, Murat; Konukseven, Erhan İlhan; Doğan, Musa; Altun, Adnan (The Scientific and Technological Research Council of Turkey, 2016-01-01)
In this study, a novel virtual reality-based interactive method combined with the application of a graphical processing unit (GPU) is proposed for the semiautomatic segmentation of 3D magnetic resonance imaging (MRI) of the brain. The key point of our approach is to use haptic force feedback guidance for the selection of seed points in a bounded volume with similar intensity and gradient. For the automatic determination of a bounded volume of segmentation in real time, parallel computation on the GPU is use...
Fast Computation of Two Dimensional Point Spread Functions forPhoton Sieves
Öktem, Sevinç Figen (null; 2016-07-25)
A fast and accurate method is developed for the computation of two-dimensional point-spread functions of photon sieves (modified Fresnel zone plates). Using this computational method, we analyze the imaging properties of photon sieves under different design scenarios. The method can also effectively be used for any other diffractive imaging element.
A Parametric Estimation Approach to Instantaneous Spectral Imaging
Öktem, Sevinç Figen; Davila, Joseph M (2014-12-01)
Spectral imaging, the simultaneous imaging and spectroscopy of a radiating scene, is a fundamental diagnostic technique in the physical sciences with widespread application. Due to the intrinsic limitation of two-dimensional (2D) detectors in capturing inherently three-dimensional (3D) data, spectral imaging techniques conventionally rely on a spatial or spectral scanning process, which renders them unsuitable for dynamic scenes. In this paper, we present a nonscanning (instantaneous) spectral imaging techn...
Fast 3D reconstruction from medical image series based on thresholding method Eşikleme metodunu kullanarak medikal görüntü serisinden hizli 3 boyutlu model oluşturma
Öz, Sinan; Serinağaoğlu Doğrusöz, Yeşim (2010-07-15)
Many practical applications in the field of medical image processing need valid, reliable and fast image segmentation. In this study, we propose a semi-automatic segmentation approach. In this approach, an extended version of the Otsu's method for three level thresholding and a recursive connected component algorithm are combined. The segmentation process is accomplished using Extended Otsu's method and labeling in each consecutive slice. Extended Otsu's method is a thresholding method selecting two thresho...
Efficient algorithms for the frame packing and slot allocation of FlexRay V3.0
Çakmak, Cumhur; Schmidt, Şenan Ece; Schmidt, Klaus Verner; Department of Electrical and Electronics Engineering (2017)
Recently, near-field ultra-wideband radar imaging algorithms have an important place in short range imaging applications by providing high resolution in both range and cross-range. In this study, the near-field ultra-wideband radar imaging algorithms in the literature such as Holographic Image Reconstruction Algorithm, Range Migration Algorithm, MIMO Based Range Migration Algorithm and MIMO Based Kirchhoff Migration Algorithm have been implemented using MATLAB. The algorithms are applied to modeled transmit...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. F. Kar and S. F. Öktem, “Fast Computational Spectral Imaging with a Programmable Diffractive Lens,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34651.