VOLUME TENSOR ESTIMATION USING A VIRTUAL LINE GRID: STUDY OF A DEVELOPING PHEASANT BRAIN
-
Published:2019-12-09
Issue:
Volume:
Page:
-
ISSN:1854-5165
-
Container-title:Image Analysis & Stereology
-
language:
-
Short-container-title:Image Anal Stereol
Author:
Janacek Jiri,Jirak Daniel
Abstract
The volume tensor provides a robust estimate of the shape and orientation of an object in space. In this paper, we introduce Fakir method for estimating the tensor of an object in 3D data set based on the intersections of objects boundary with virtual lines. We calculate the precision of shape estimates by predicting the variance of estimators of integrals based on systematic sampling. To demonstrate the ability of the Fakir method, we measure changes in shape and orientation of compartments in the pheasant brain during development.
Publisher
Slovenian Society for Stereology and Quantitative Image Analysis
Subject
Computer Vision and Pattern Recognition,Acoustics and Ultrasonics,Radiology Nuclear Medicine and imaging,Instrumentation,Materials Science (miscellaneous),General Mathematics,Signal Processing,Biotechnology
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献