Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images [PDF]
IEEE Transactions on Image Processing, 2017 Spectral-spatial feature extraction is an important task in hyperspectral image processing. In this paper we propose a novel method to extract distinctive invariant features from hyperspectral images for registration of hyperspectral images with different spectral conditions.
Suhad Lateef Al-khafaji +3 more
openalex +6 more sources
FPGA-based hardware design for scale-invariant feature transform [PDF]
IEEE Access, 2018 [[abstract]]This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA).
李世安
core +8 more sources
Integrated Velocity Measurement Algorithm Based on Optical Flow and Scale-Invariant Feature Transform [PDF]
IEEE Access, 2019 The pyramid Lucas-Kanade (LK) optical flow algorithm has been widely used in velocity measurement applications. However, these applications are limited by some shortcomings of the algorithm, such as its slow calculation speed and susceptibility to ...
Xiaochen Liu +7 more
doaj +2 more sources
Comparison of spatial domain optimal trade-off maximum average correlation height (OT-MACH) filter with scale invariant feature transform (SIFT) using images with poor contrast and large illumination gradient [PDF]
, 2015 A spatial domain optimal trade-off Maximum Average Correlation Height (OT-MACH) filter has been previously developed and shown to have advantages over frequency domain implementations in that it can be made locally adaptive to spatial variations in the ...
Akber Abid Gardezi +5 more
openalex +3 more sources
Enhanced target recognition employing spatial correlation filters and affine scale invariant feature transform [PDF]
, 2019 A spatial domain optimal trade-off Maximum Average Correlation Height (SPOT-MACH) filter has been shown to have advantages over frequency domain implementations of the Optimal Trade-Off Maximum Average Correlation Height (OR-MACH) filter as it can be ...
Akber Abid Gardezi +5 more
openalex +4 more sources
Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms [PDF]
Journal of King Saud University: Computer and Information Sciences, 2017 Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency.
Iyad Abu Doush, Sahar AL-Btoush
doaj +3 more sources
Possibility Study of Scale Invariant Feature Transform (SIFT) Algorithm Application to Spine Magnetic Resonance Imaging. [PDF]
PLoS ONE, 2016 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.
Dong-Hoon Lee, Do-Wan Lee, Bong-Soo Han
doaj +2 more sources
Sasirangan Motifs Classification using Scale- Invariant Feature Transform (SIFT) and Support Vector Machine (SVM) [PDF]
MATEC Web of Conferences, 2019 Sasirangan is one of the traditional cloth from Indonesia. Specifically, it comes from South Borneo. It has many variations of motifs with a different meaning for each pattern.
Alkaff Muhammad +3 more
doaj +2 more sources
Artificial intelligence scale-invariant feature transform algorithm-based system to improve the calculation accuracy of Ki-67 index in invasive breast cancer: a multicenter retrospective study. [PDF]
Ann Transl Med, 2022 Xie N +8 more
europepmc +3 more sources
Scale Invariant Feature Transform Based Fingerprint Corepoint Detection [PDF]
Defence Science Journal, 2013 The detection of singular points (core and delta) accurately and reliably is very important for classification and matching of fingerprints. This paper presents a new approach for core point detection based on scale invariant feature transform (SIFT ...
Ansari, Abdul Quaiyum +4 more
core +4 more sources