Results 11 to 20 of about 155,901 (241)
Image Feature Extraction and Matching of Augmented Solar Images in Space Weather
Kongjian kexue xuebao, 2023 Augmented solar images were used to research the adaptability of four representative image extraction and matching algorithms in space weather domain.
WANG Rui, BAO Lili, CAI Yanxia
doaj +1 more source
An Improved ASIFT Image Feature Matching Algorithm Based on POS Information
Sensors, 2022 The affine scale-invariant feature transform (ASIFT) algorithm is a feature extraction algorithm with affinity and scale invariance, which is suitable for image feature matching using unmanned aerial vehicles (UAVs).
Junchai Gao, Zhen Sun
doaj +1 more source
SIFT-GVF-based lung edge correction method for correcting the lung region in CT images.
PLoS ONE, 2023 Juxtapleural nodules were excluded from the segmented lung region in the Hounsfield unit threshold-based segmentation method. To re-include those regions in the lung region, a new approach was presented using scale-invariant feature transform and ...
Xin Li +4 more
doaj +2 more sources
pi-SIFT: A Photometric and Scale Invariant Feature Transform [PDF]
2008 19th International Conference on Pattern Recognition, 2008 In this chapter, we presented a novel photometric quasi-invariant SIFT descriptor, PHI-SIFT, which is insensitive to photometric variations in addition to geometric invariance. The dichromatic reflection model is used for extracting photometric quasi-invariant features and the similar approach to the SIFT is used for obtaining geometric invariance. For
Moon-Hong Baeg +3 more
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Pemanfaatan Scale Invariant Feature Transform Berbasis Saliency untuk Klasifikasi Sel Darah Putih
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2021 White blood cells are cells that makeup blood components that function to fight various diseases from the body (immune system). White blood cells are divided into five types, namely basophils, eosinophils, neutrophils, lymphocytes, and monocytes ...
Yohannes Yohannes +2 more
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International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source
EURASIP Journal on Image and Video Processing, 2008 Scale-invariant feature transform (SIFT) transforms a grayscale image into scale-invariant coordinates of local features that are invariant to image scale, rotation, and changing viewpoints.
Hong Yi +3 more
doaj +2 more sources
FPGA-Based Hardware Design for Scale-Invariant Feature Transform
IEEE Access, 2018 This paper proposes a novel hardware design method of scale-invariant feature transform (SIFT) algorithm for implementation on field-programmable gate array (FPGA).
Shih-An Li +4 more
doaj +1 more source
Improving the matching precision of SIFT [PDF]
, 2014 International audienceMatching precision of scale-invariant feature transform (SIFT) is evaluated and improved in this paper. The aim of the paper is not to invent a new feature detector more invariant than the others.
Monasse, Pascal +2 more
core +3 more sources
Automated identification of Lauraceae by scale-invariant feature transform [PDF]
Journal of Wood Science, 2017 An image dataset of the cross-sectional optical micrographs of the Lauraceae species including 39 species in 11 genera, capturing at least one full annual ring, was investigated by scale-invariant feature transform (SIFT), a computer vision-based feature extraction algorithm. We found an image of 900 × 900-pixel size at a pixel resolution of ca.
Kayoko Kobayashi +4 more
openaire +2 more sources