Results 61 to 70 of about 1,159 (170)
Journal of Applied Fluid Mechanics, 2018 The rollover phenomenon of LNG tank has great threat to secure storage of LNG, therefore the Curvelet finite element method combing the large eddy simulation technology to analyze the rollover mechanism.
B. Zhao +5 more
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FAST DISCRETE CURVELET TRANSFORM BASED ANISOTROPIC FEATURE EXTRACTION FOR IRIS RECOGNITION [PDF]
ICTACT Journal on Image and Video Processing, 2010 The feature extraction plays a very important role in iris recognition. Recent researches on multiscale analysis provide good opportunity to extract more accurate information for iris recognition.
Amol D. Rahulkar +2 more
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Histopathology Image Enhancement Using Multi‐Resolution Deep Learning Techniques
IET Image Processing, Volume 19, Issue 1, January/December 2025.Accurate analysis of histopathology images is critical for reliable disease diagnosis and effective treatment planning. However, the resolution limitations of digital pathology scanners can hinder the visibility of fine cellular details, potentially impacting diagnostic accuracy and patient outcomes. In this study, we present a comprehensive comparison
Meriem Touhami +4 more
wiley +1 more source
Fake Fingerprint Classification Using Hybrid Features Learning With Gradient Boosting
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.Biometric security systems must be able to detect phony fingerprints to provide reliable authentication. The findings of this study suggest a hybrid approach to the detection of fake fingerprints that uses information on the texture and shape of the fingerprint.
Muhammad Salman Ali +7 more
wiley +1 more source
Iris recognition based on generalized Gaussian distribution FDCT_Wrap and FSVM
Dianxin kexue, 2016 In order to improve the accuracy rate of iris recognition,an improved curvelet transform algorithm for iris recognition was proposed.Firstly,the iris image was decomposed with fast discrete curvelet transform by wrapping algorithm.Mean variance and ...
Zhenhong HE
doaj +2 more sources
Classification of Mammography Images Based on Multifractal Analysis of BIMFs
International Journal of Biomedical Imaging, Volume 2025, Issue 1, 2025.Breast cancer is a real public health problem. Several women with this disease have died from it. Breast cancer is one of the deadliest cancers. Currently, the only way to combat this scourge is the early detection of breast masses. Mammography is a breast x‐ray that allows images of the inside of the breast to be obtained using x‐rays, thereby ...
Fatima Ghazi +5 more
wiley +1 more source
Quantum algorithms using the curvelet transform [PDF]
Proceedings of the forty-first annual ACM symposium on Theory of computing, 2009 64 pages, 4 figures; improved algorithm and lower bound for finding the center of a radial function; revised presentation; to appear in STOC ...
openaire +3 more sources
Recognition method of low-resolution coal-rock images based on curvelet transform
矿业科学学报, 2017 Considering the limitations of wavelet in image representation-that it is only optimal in representing point singularities and difficult to extract curve features of coal and rock images, a new recognition method for low-resolution coal-rock images based
Wu Yunxia, Zhang Hong
doaj
IEEE AccessNa $\ddot {i}$ ve simulated additive white Gaussian noise (AWGN) may not fully characterize the complexity of real world noisy images. Owing to optimal sparsity in image representation, we propose a curvelet based model for denoising real-world RGB ...
Susant Kumar Panigrahi +5 more
doaj +1 more source
CURVELET BASED SATELLITE IMAGE NATURAL RESOURCE CLASSIFICATION SYSTEM USING ELM
ICTACT Journal on Image and Video Processing, 2018 Remote sensing is one of the hottest topics of research, which intends to study or analyze a particular object in the topographic map. The monitoring and management is possible when it is possible to differentiate the objects in the satellite image ...
Anita Dixit +2 more
doaj +1 more source