Investigation of surface texture filtering error using spline spatial filter

2018 ◽  
pp. 27-32
Author(s):  
V. V. Poroshin ◽  
D. G. Bogomolov ◽  
V. G. Lysenko
Keyword(s):  
Surface Texture ◽  
Spatial Filter ◽  
Texture Filtering

scholarly journals Multi-scale freeform surface texture filtering using a mesh relaxation scheme

2013 ◽  
Vol 24 (11) ◽  
pp. 115001 ◽  
Author(s):  
Xiangqian (Jane) Jiang ◽  
Hussein S Abdul-Rahman ◽  
Paul J Scott
Keyword(s):  
Surface Texture ◽  
Freeform Surface ◽  
Multi Scale ◽  
Relaxation Scheme ◽  
Texture Filtering

Study of Filtration Error of Surface Texture Using a Gaussian Spatial Filter

2017 ◽  
Vol 60 (8) ◽  
pp. 777-784 ◽  
Author(s):  
V. V. Poroshin ◽  
D. Yu. Bogomolov ◽  
V. G. Lysenko
Keyword(s):  
Surface Texture ◽  
Spatial Filter ◽  
Filtration Error

scholarly journals Feasibility analysis of Savitzky-Golay Filter implementation in surface texture filtering and measurement

2017 ◽  
Vol 13 ◽  
pp. 503-510 ◽  
Author(s):  
P. Antón-Acedos ◽  
A. Sanz-Lobera ◽  
A. López-Baos ◽  
G. García-Puig
Keyword(s):  
Surface Texture ◽  
Feasibility Analysis ◽  
Texture Filtering

Surface Texture Filtering

2019 ◽  
pp. 1674-1685
Author(s):  
Xiangqian Jiang ◽  
Paul J Scott
Keyword(s):  
Surface Texture ◽  
Texture Filtering

Comparison of Deterministic and Linear Cosine Spatial Filtering of Transmission Electron Micrographs

1972 ◽  
Vol 30 ◽  
pp. 596-597
Author(s):  
David A. Ansley
Keyword(s):  
Spherical Aberration ◽  
Focal Length ◽  
Chromatic Aberration ◽  
Spatial Filter ◽  
Operating Conditions ◽  
Objective Lens ◽  
List Type ◽  
Spatial Filters ◽  
Transmission Electron ◽  
Wide Range

The coherence of the electron flux of a transmission electron microscope (TEM) limits the direct application of deconvolution techniques which have been used successfully on unmanned spacecraft programs. The theory assumes noncoherent illumination. Deconvolution of a TEM micrograph will, therefore, in general produce spurious detail rather than improved resolution.A primary goal of our research is to study the performance of several types of linear spatial filters as a function of specimen contrast, phase, and coherence. We have, therefore, developed a one-dimensional analysis and plotting program to simulate a wide 'range of operating conditions of the TEM, including adjustment of the:(1) Specimen amplitude, phase, and separation(2) Illumination wavelength, half-angle, and tilt(3) Objective lens focal length and aperture width(4) Spherical aberration, defocus, and chromatic aberration focus shift(5) Detector gamma, additive, and multiplicative noise constants(6) Type of spatial filter: linear cosine, linear sine, or deterministic

Optimum spatial filter for optical defocus sensing

1981 ◽  
Vol 64 (9) ◽  
pp. 113-120
Author(s):  
Kohji Takemura ◽  
Suteo Tsutsumi
Keyword(s):  
Spatial Filter ◽  
Optical Defocus

Improvement of die life with surface texture control and solid lubricant

2012 ◽  
Vol 67 (2) ◽  
pp. 153-157 ◽  
Author(s):  
O. Furukimi ◽  
M. Aramaki ◽  
K. Abe ◽  
H. Fukaura ◽  
N. Yamada
Keyword(s):  
Surface Texture ◽  
Solid Lubricant ◽  
Die Life
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