Incoherent Matched Filtering with Fourier Holograms

1971 ◽  
Vol 10 (3) ◽  
pp. 670 ◽  
Author(s):  
W. Lohmann ◽  
H. W. Werlich
Keyword(s):  
2013 ◽  
Vol 2013 ◽  
pp. 1-21 ◽  
Author(s):  
Asloob Ahmad Mudassar ◽  
Saira Butt

A variety of blood vessel extraction (BVE) techniques exist in the literature, but they do not always lead to acceptable solutions especially in the presence of anomalies where the reported work is limited. Four techniques are presented for BVE: (1) BVE using Image Line Cross-Sections (ILCS), (2) BVE using Edge Enhancement and Edge Detection (EEED), (3) BVE using Modified Matched Filtering (MMF), and (4) BVE using Continuation Algorithm (CA). These four techniques have been designed especially for abnormal retinal images containing low vessel contrasts, drusen, exudates, and other artifacts. The four techniques were applied to 30 abnormal retinal images, and the success rate was found to be (95 to 99%) for CA, (88–91%) for EEED, (80–85%) for MMF, and (74–78%) for ILCS. Application of these four techniques to 105 normal retinal images gave improved results: (99-100%) for CA, (96–98%) for EEED, (94-95%) for MMF, and (88–93%) for ILCS. Investigations revealed that the four techniques in the order of increasing performance could be arranged as ILCS, MMF, EEED, and CA. Here we demonstrate these four techniques for abnormal retinal images only. ILCS, EEED, and CA are novel additions whereas MMF is an improved and modified version of an existing matched filtering technique. CA is a promising technique.


Author(s):  
S. Venkatesh ◽  
C. R. Anderson ◽  
R. M. Buehrer ◽  
J. H. Reed

2017 ◽  
Author(s):  
Bin Sun ◽  
Ryan Blood ◽  
Selcuk Atalay ◽  
Dylan Colli ◽  
Stephen E. Rankin ◽  
...  

We developed a new workflow for simulating ion reaction-adsorption-diffusion in nanoporous silica-based materials that are resolved through electron microscopy. Firstly, we propose a matched filtering procedure to identify and segment unique porous regions of the material that will be subject to PDE simulation. Secondly, we perform reaction-adsorption-diffusion PDE simulations on representative material regions that are then applied to characterize the entire microscopy-resolved film surface. Using this model, we examine the capacity of a recently synthesized mesoporous film to tune small molecule permeation through modulating the material permeability, surface chemistry<br>including buffering and adsorption, as well as electrolyte composition. Specifically, we find that our proposed matched filtering approach reliably discriminates hexagonal close packed (HCP) porous regions (bulk) from characterized defect regions in transmission electron microscopy (EM) data for nanoporous silica films. Further, based on our implementation of a pH-/surface-chemistry dependent Poisson-Nernst-Planck (PNP) model that is consistent with existing experimental measurements of KCl and CaCl2 conductance, we characterize ion and 5(6)-Carboxyfluorescein (CF) dye permeability in silica-based nanoporous materials over a broad range of ionic strengths, pHs, and surface chemistries. Using this protocol, we probe conditions for selectively tuning small molecule permeability based on mesoporous film pore size, surface charge, ionic strength and surface reactions in the rapid-equilibrium limit. <br><br>


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