Model-independent phenotyping of C. elegans locomotion using scale-invariant feature transform. [PDF]
PLoS ONE, 2015 To uncover the genetic basis of behavioral traits in the model organism C. elegans, a common strategy is to study locomotion defects in mutants. Despite efforts to introduce (semi-)automated phenotyping strategies, current methods overwhelmingly depend ...
Yelena Koren +6 more
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Computer Aided Classification of Neuroblastoma Histological Images Using Scale Invariant Feature Transform with Feature Encoding [PDF]
Diagnostics, 2018 Neuroblastoma is the most common extracranial solid malignancy in early childhood. Optimal management of neuroblastoma depends on many factors, including histopathological classification.
Soheila Gheisari +5 more
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Local-Peak Scale-Invariant Feature Transform for Fast and Random Image Stitching [PDF]
SensorsImage stitching aims to construct a wide field of view with high spatial resolution, which cannot be achieved in a single exposure. Typically, conventional image stitching techniques, other than deep learning, require complex computation and are thus ...
Hao Li +3 more
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Retinal Identification Based on an Improved Circular Gabor Filter and Scale Invariant Feature Transform [PDF]
Sensors, 2013 Retinal identification based on retinal vasculatures in the retina provides the most secure and accurate means of authentication among biometrics and has primarily been used in combination with access control systems at high security facilities. Recently,
Xiaoming Xi +3 more
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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 Ning Xie +8 more
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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
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$n$-SIFT: $n$-Dimensional Scale Invariant Feature Transform [PDF]
IEEE Transactions on Image Processing, 2009 We propose the n-dimensional scale invariant feature transform (n-SIFT) method for extracting and matching salient features from scalar images of arbitrary dimensionality, and compare this method's performance to other related features. The proposed features extend the concepts used for 2-D scalar images in the computer vision SIFT technique for ...
Warren, Cheung, Ghassan, Hamarneh
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Scale-Invariant Feature Transform Algorithm with Fast Approximate Nearest Neighbor
مجلة بغداد للعلوم, 2017 There is a great deal of systems dealing with image processing that are being used and developed on a daily basis. Those systems need the deployment of some basic operations such as detecting the Regions of Interest and matching those regions, in ...
Ekhlas Khalaf Gbash, Suha Mohammed Saleh
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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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More effective image matching with scale invariant feature transform [PDF]
Proceedings of the 23rd Spring Conference on Computer Graphics, 2007 Feature matching is based on finding reliable corresponding points in the images. This requires to solve a twofold problem: detecting repeatable feature points and describing them as distinctive as possible. SIFT (Scale Invariant Feature Transform) has been proven to be the most reliable solution to this problem.
ANCUTI, Cosmin, BEKAERT, Philippe
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