A novel coarse-to-fine scheme for automatic image registration based on SIFT and mutual information
Automatic image registration is a vital yet challenging task, particularly for remote sensing
images. A fully automatic registration approach which is accurate, robust, and fast is …
images. A fully automatic registration approach which is accurate, robust, and fast is …
Image registration in medical robotics and intelligent systems: fundamentals and applications
Medical image registration, by transforming two or more sets of imaging data into one
coordinate system, plays a central role in medical robotics and intelligent systems from …
coordinate system, plays a central role in medical robotics and intelligent systems from …
ViBE-Z: a framework for 3D virtual colocalization analysis in zebrafish larval brains
Abstract Precise three-dimensional (3D) mapping of a large number of gene expression
patterns, neuronal types and connections to an anatomical reference helps us to understand …
patterns, neuronal types and connections to an anatomical reference helps us to understand …
Different medical image registration techniques: A comparative analysis
S Karthick, S Maniraj - Current Medical Imaging, 2019 - ingentaconnect.com
Background: Image registration provides major role in real world applications and classic
digital image processing. Image registration is carried out for more than one image and this …
digital image processing. Image registration is carried out for more than one image and this …
Bipartite differential neural network for unsupervised image change detection
Image change detection detects the regions of change in multiple images of the same scene
taken at different times, which plays a crucial role in many applications. The two most …
taken at different times, which plays a crucial role in many applications. The two most …
Perspective-SIFT: An efficient tool for low-altitude remote sensing image registration
This paper presents an automated image registration approach that is robust to perspective
distortions. State-of-the-art method affine-SIFT uses affine transform to simulate various …
distortions. State-of-the-art method affine-SIFT uses affine transform to simulate various …
Modeling and monitoring methods for spatial and image data
BM Colosimo - Quality Engineering, 2018 - Taylor & Francis
Intelligent sensing and computerized data analysis are inducing a paradigm shift in
industrial statistics applied to discrete part manufacturing. Emerging technologies (eg …
industrial statistics applied to discrete part manufacturing. Emerging technologies (eg …
Automatic SAR image registration via Tsallis entropy and iterative search process
MS Kang, KT Kim - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Synthetic aperture radar (SAR) image registration is a process of geometrically aligning two
or more remote sensing images, acquired at different times, from different viewpoints or from …
or more remote sensing images, acquired at different times, from different viewpoints or from …
A monitoring and diagnostic approach for stochastic textured surfaces
We develop a supervised-learning-based approach for monitoring and diagnosing texture-
related defects in manufactured products characterized by stochastic textured surfaces that …
related defects in manufactured products characterized by stochastic textured surfaces that …
Phase I monitoring of spatial surface data from 3D printing
Y Zang, P Qiu - Technometrics, 2018 - Taylor & Francis
In recent years, 3D printing gets more and more popular in manufacturing industries. Quality
control of 3D printing products thus becomes an important research problem. However, this …
control of 3D printing products thus becomes an important research problem. However, this …