scholarly journals Scratch Detection Based on Image Reconstruction Using Ideal-Image-Pair Dataset of Just before/after Defect Occurrence

2021 ◽  
Vol 87 (12) ◽  
pp. 1020-1027
Author(s):  
Hiroki KOBAYASHI ◽  
Naoya NAKABAYASHI ◽  
Ryo MIYOSHI ◽  
Manabu HASHIMOTO
Keyword(s):  
Image Reconstruction ◽  
Image Pair ◽  
Ideal Image ◽  
Scratch Detection

scholarly journals Words Representation of Postfeminism in Indonesian Heroine Character : Case Study of Valentine Film

2020 ◽  
Vol 14 (2) ◽  
pp. 47-56
Author(s):  
Daniar Wikan Setyanto ◽  
Santosa Soewarlan ◽  
Sumbo Tinarbuko
Keyword(s):  
Image Reconstruction ◽  
Case Studies ◽  
Female Representation ◽  
The Public ◽  
Self Image ◽  
Ideal Image ◽  
The World ◽  
Public Imagination ◽  
The Ideal

The heroine is a character who has succeeded in embracing the public imagination in terms of self-image and became the ideal image of female, including in Indonesia. The character of Srimaya/ Valentine is a heroine character coming from local comic taken into Indonesia’s movies. The image presented on Srimaya/ Valentine is the symptom of capitalism in the Indonesian’s movies, the character is also one of the case studies in image reconstruction product or the representation of female using their image as a heroine. The discourse of female representation in the character of Srimaya/ Valentine does not only show about image idealized however it also represents the ideology of post-feminism as well as a politic of identity presented in the world of local films. The achievement of identity exceeds physical image from female because, in character, there are many symbols about feminists. This research was done to know the discourse of identity in view of post-feminism delivered in the film of Valentine(2017).

Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

1974 ◽  
Vol 32 ◽  
pp. 330-331
Author(s):  
R. A. Crowther
Keyword(s):  
Image Reconstruction ◽  
Finite Number ◽  
Density Distribution ◽  
Electron Micrographs ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Ideal Case ◽  
Dimensional Image ◽  
General Object ◽  
The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

Three dimensional deblurring of transmitted-light brightfield micrographs

1993 ◽  
Vol 51 ◽  
pp. 564-565
Author(s):  
Santosh Bhattacharyya
Keyword(s):  
Image Reconstruction ◽  
Three Dimensional ◽  
Transmitted Light ◽  
Reconstruction Algorithms ◽  
3D Image Reconstruction ◽  
Structural Details ◽  
Spread Function ◽  
Early Testing ◽  
Linearized Model ◽  
Image Reconstruction Algorithms

Three dimensional microscopic structures play an important role in the understanding of various biological and physiological phenomena. Structural details of neurons, such as the density, caliber and volumes of dendrites, are important in understanding physiological and pathological functioning of nervous systems. Even so, many of the widely used stains in biology and neurophysiology are absorbing stains, such as horseradish peroxidase (HRP), and yet most of the iterative, constrained 3D optical image reconstruction research has concentrated on fluorescence microscopy. It is clear that iterative, constrained 3D image reconstruction methodologies are needed for transmitted light brightfield (TLB) imaging as well. One of the difficulties in doing so, in the past, has been in determining the point spread function of the system.We have been developing several variations of iterative, constrained image reconstruction algorithms for TLB imaging. Some of our early testing with one of them was reported previously. These algorithms are based on a linearized model of TLB imaging.

Who's Afraid of the Real-Ideal Image Gulf?

1997 ◽  
Vol 42 (1) ◽  
pp. 41-42
Author(s):  
Allan Fenigstein
Keyword(s):  
The Real ◽  
Ideal Image

Ordered subset expectation maximization algorithm for image reconstruction applied to zero-flow or low-flow mimicking brain phantom

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S678-S678
Author(s):  
Yasuhiro Akazawa ◽  
Yasuhiro Katsura ◽  
Ryohei Matsuura ◽  
Piao Rishu ◽  
Ansar M D Ashik ◽  
...  
Keyword(s):  
Image Reconstruction ◽  
Expectation Maximization ◽  
Expectation Maximization Algorithm ◽  
Low Flow ◽  
Brain Phantom ◽  
Zero Flow
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