Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging.
The purpose of this study is an application of scale invariant feature transform (SIFT) algorithm to stitch the cervical-thoracic-lumbar (C-T-L) spine magnetic resonance (MR) images to provide a view of the entire spine in a single image. All MR images were acquired with fast spin echo (FSE) pulse s...
Main Authors: | Dong-Hoon Lee, Do-Wan Lee, Bong-Soo Han |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4827852?pdf=render |
Similar Items
-
FPGA-Based Implementation for Scale Invariant Feature Transform (SIFT) of Image Recognition Algorithm
by: Pan, Wei-Zheng, et al.
Published: (2016) -
Scale-Invariant Feature Transform (SIFT) Based Iris Match Technology for Identity Identification
by: Tzung-Da Yang, et al.
Published: (2017) -
Pengenalan Barang Pada Kereta Belanja Menggunakan Metode Scale Invariant Feature Transform (SIFT)
by: Ronny Makhfuddin Akbar, et al.
Published: (2018-11-01) -
SIFT Features with Flip-invariance and Reduced Dimensionality
by: Bing-chang Wu, et al.
Published: (2014) -
Sasirangan Motifs Classification using Scale- Invariant Feature Transform (SIFT) and Support Vector Machine (SVM)
by: Alkaff Muhammad, et al.
Published: (2019-01-01)