Results 71 to 80 of about 167,567 (320)
Rotation and Scale Invariant Texture Classification [PDF]
, 2008 Texture classification is very important in image analysis. Content based image retrieval, inspection of surfaces, object recognition by texture, document segmentation are few examples where texture classification plays a major role.
Agarwal, Anubhav, Manohar, Madhukar
core
Hexagonal scale invariant feature transform (H-SIFT) for facial feature extraction
Journal of Applied Research and Technology, 2015 AbstractFeature transformation and key-point identifi is the solution to many local feature descriptors. One among such descriptor is the Scale Invariant Feature Transform (SIFT). A small effort has been made for designing a hexagonal sampled SIFT feature descriptor with its applicability in face recognition tasks. Instead of using SIFT on square image
Mudassar Raza +3 more
openaire +2 more sources
EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines
Molecular Oncology, EarlyView.The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche +8 more
wiley +1 more source
Robust image hashing using SIFT feature points and DWT approximation coefficients
ICT Express, 2018 This study proposes a robust hashing method using scale-invariant feature transform (SIFT) features points and discrete wavelet transform (DWT) approximation coefficients for image authentication.
Lokanadham Naidu Vadlamudi +2 more
doaj
Molecular Oncology, EarlyView.Analysis of treatment‐naïve high‐grade serous ovarian carcinoma (HGSOC) and control tissues for ERVs, LINE‐1 (L1), inflammation, and immune checkpoints identified five clusters with diverse patient recurrence‐free survivals. An inflammation score was calculated and correlated with retroelement expression, where one novel cluster (Triple‐I) with high ...
Laura Glossner +6 more
wiley +1 more source
SIFT (Scale Invariant Feature Transform) [PDF]
, 2019 Cap. 8, pp. 131-157SIFT es un método que permite detectar puntos característicos en una imagen y luego describirlos mediante un histograma orientado de gradientes.
Alegre Gutiérrez, Enrique +1 more
core
Palm pattern recognition using scale invariant feature transform
International Journal of Intelligence and Sustainable Computing, 2020 In this research paper, we propose an efficient scale invariant feature transform (SIFT) for palm pattern recognition. A fingerprint recognition which is efficient for individual authentication based on fingerprint pattern. This method leads to fraudulent because it could be extracted easily from individuals.
V. Sangeetha +2 more
openaire +2 more sources
The impact of frailty syndrome on skeletal muscle histology: preventive effects of exercise
FEBS Open Bio, EarlyView.Frailty syndrome exacerbates skeletal muscle degeneration via increased ECM deposition and myofiber loss. This study, using a murine model, demonstrates that endurance exercise attenuates these histopathological alterations, preserving muscle integrity. Findings support exercise as a viable strategy to counteract frailty‐induced musculoskeletal decline
Fujue Ji +3 more
wiley +1 more source
IET Computer Vision, 2016 Face recognition (FR) is one of the most effervescent fields of research with extensive applications that span numerous domains, and it stands resolutely as one of the most challenging problems in computer vision.
Vinay. A +4 more
doaj +1 more source
RST Resilient Watermarking Scheme Based on DWT-SVD and Scale-Invariant Feature Transform
Algorithms, 2017 Currently, most digital image watermarking schemes are affected by geometric attacks like rotation, scaling, and translation (RST). In the watermark embedding process, a robust watermarking scheme is proposed against RST attacks.
Yunpeng Zhang, Chengyou Wang, Xiao Zhou
doaj +1 more source