Results 141 to 150 of about 1,295,081 (208)

Community as the key to socio-education: an analysis of challenges and practices in migratory contexts. [PDF]

open access: yesFront Sociol
Santoro M   +4 more
europepmc   +1 more source

Analysis of focus measure operators for shape-from-focus

Pattern Recognition, 2013
Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth recovery and 3D reconstruction method. One of the main stages in SFF is the computation of the focus level for every pixel of an image by means of a focus measure operator.
Said Pertuz   +2 more
semanticscholar   +4 more sources

A new focus measure operator for enhancing image focus in 3D shape recovery

Microscopy Research and Technique, 2021
AbstractMeasuring the image focus is an important issue in Shape from Focus methods. Conventionally, the Sum of Modified Laplacian, Gray Level Variance (GLV), and Tenengrad techniques have been used frequently among various focus measure operators for estimating the focus levels in a sequence of images.
Hoon‐Seok Jang   +3 more
openaire   +3 more sources

Denoising Filter Based on Focus Measure Operators for Astronomical Images: A Comparative Study

2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES), 2022
The celestial study requires exceedingly proper scientific research, which depends on the quality of the astronomical image. The photo may contain noise due to various interference presented during the quantization process.
Islam Helmy, Omar Saad, Doaa Eid
openaire   +2 more sources

Focus measure operator using 3D gradient

2007 International Conference on Machine Vision, 2007
The shape from focus (SFF) is used to reconstruct a three-dimensional (3D) structure of objects from a sequence of two-dimensional (2D) images. The basic idea of image focus is that objects at different distances from a lens are focused at different distances. In SFF, focus measure operator is applied on the sequence of images.
M. Ahmad
openaire   +2 more sources

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