Results 31 to 40 of about 1,628 (189)

Pansharpening with the Multidirection Tree Ridgelet Dictionary

Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022
In this work, we propose a novel pansharpening method based on the multidirection tree ridgelet dictionary. A pansharpened image has a wide‐ranging application area, such as object detection, image segmentation, feature extraction, and so on. Remote sensing (RS) imagery contains more abundant information on surface features.
Hong Li, Gaining Han, Zongsheng Wu, Xiaoxue Song, Wen-Tsao Pan   +4 more
wiley   +1 more source

Iris Recognition Using Ridgelets [PDF]

Journal of Information Processing Systems, 2012
Abstract —Image feature extraction is one of the basic works for biometric analysis. This paper presents the novel concept of application of ridgelets for iris recognition systems. Ridgelet transforms are the combination of Radon transforms and Wavelet transforms. They are suitable for extracting the abundantly present textural data that is in an iris.
Lenina Birgale, Manesh Kokare
openaire   +1 more source

[Retracted] Artificial Neural Network in Classification of Multisource Remote Sensing Images

International Transactions on Electrical Energy Systems, Volume 2022, Issue 1, 2022., 2022
How to solve multi‐category image recognition and meet a certain accuracy is a key issue in the research of high‐resolution remote sensing images, and it is of great significance. This article mainly studies artificial neural network in the classification of multi‐source remote sensing images.
Li Feng, Weiling Liao, Jiawei Pang, Ronghao Hu, Lei Feng, Raghavan Dhanasekaran   +5 more
wiley   +1 more source

[Retracted] Application of High‐Resolution Face Recognition and EDF Image Reconstruction in English Classroom Teaching

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
This study examines classroom monitoring in order to increase the effectiveness of English classroom instruction. This article uses high‐resolution algorithms and EDF image reconstruction technology in the English classroom education system to improve the high resolution of students’ faces.
Shaofang He, Wenjuan Zhang, Muhammad Arif   +2 more
wiley   +1 more source

Robust Watermarking Algorithm against the Geometric Attacks based on Non‐Subsampled Shearlet Transform and Harris‐Laplace Detector

Security and Communication Networks, Volume 2022, Issue 1, 2022., 2022
With the rapid spread of network information, the information maintenance has become the focus of information security on networks. Digital watermarking is one of the effective methods to protect information security, achieve anticounterfeiting traceability, and protect copyright, and it is an important branch of information hiding technology. However,
Ling Zhou, Mei-Juan Zuo, Hao Shi, Ye Zhang, Li-Hua Gong, Zhengyu Zhu   +5 more
wiley   +1 more source

A robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos

Journal of Cloud Computing: Advances, Systems and Applications, 2022
With the help of big data, cloud computing, artificial intelligence and other technologies, the informatization and intelligence of the wisdom medical have been gradually realized.
Zilong Liu, Jingbing Li, Yang Ai, Yuancai Zheng, Jing Liu   +4 more
doaj   +1 more source

Clifford‐Valued Shearlet Transforms on Cl(P,Q)‐Algebras

Journal of Mathematics, Volume 2022, Issue 1, 2022., 2022
The shearlet transform is a promising and powerful time‐frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford‐valued shearlet transform on Cl(p,q) algebras which is designed to represent Clifford‐valued signals at different scales, locations, and orientations. We investigated
Firdous A. Shah, Aajaz A. Teali, Mawardi Bahri, Francisco J. Garcia Pacheco   +3 more
wiley   +1 more source

Robust multimodal fusion network employing novel Empirical Riglit Wavelet Transform for brain images

Measurement: Sensors, 2022
Machine learning is useful for pattern recognition, if allowed access to patient data, it can notice patterns that would be missed by human doctors, which could be used to predict if a person is at risk for a disease that would not have been anticipated ...
Anupama Jamwal, Shruti Jain
doaj   +1 more source

A Comparative Study among Handwritten Signature Verification Methods Using Machine Learning Techniques

Scientific Programming, Volume 2022, Issue 1, 2022., 2022
Nowadays, the verification of handwritten signatures has become an effective research field in computer vision as well as machine learning. Signature verification is naturally formulated as a machine‐learning task. This task is performed by determining if the signature is genuine or forged.
Zainab Hashim, Hanaa M. Ahmed, Ahmed Hussein Alkhayyat, Punit Gupta   +3 more
wiley   +1 more source

Fusion High-and-Low-Level Features via Ridgelet and Convolutional Neural Networks for Very High-Resolution Remote Sensing Imagery Classification

IEEE Access, 2019
Ridgelet can theoretically approximate low-level image features, and the ridgelet filter is constructed independently of the training sample, but it usually requires to preset a lot of parameters to achieve an ideal representation of complex scenes ...
Zhifeng Zheng, Jiannong Cao
doaj   +1 more source