Results 71 to 80 of about 762,837 (162)

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source

Total Variation based Multivariate Shearlet Shrinkage for Image Reconstruction [PDF]

, 2013
Shearlet as a new multidirectional and multiscale transform is optimally efficient in representing images containing edges. In this paper, a total variation based multivariate shearlet adaptive shrinkage is proposed for discontinuity-preserving image ...
Deng, Chengzhi, Hu, Min, Wang, Shengqian, Li, Yan, Tian, Wei, Hu, Saifeng   +5 more
core   +1 more source

Determining Area Affected by Corona in Lung Computed Tomography Images by Three-phase Level Set and Shearlet Transform

Journal of Medical Signals and Sensors
Background: The COVID-19 pandemic has created a critical global situation, causing widespread challenges and numerous fatalities due to severe respiratory complications. Since lung involvement is a key factor in COVID-19 diagnosis and treatment, accurate
Nasser Aghazadeh, Parisa Noras, Sevda Moghaddasighamchi   +2 more
doaj   +1 more source

Fast Finite Shearlet Transform

, 2012
In recent years it has turned out that shearlets have the potential to retrieve directional information so that they became interesting for many applications. Moreover the continuous shearlet transform has the outstanding property to stem from a square integrable group representation.
Häuser, S., Steidl, G.
openaire   +2 more sources

Image registration using the shearlet transform [PDF]

SPIE Proceedings, 2015
In this paper, we present an algorithm for image registration utilizing the shearlet representation. The shearlet framework allows one to collect multi-scale and multi-directional feature information from multidimensional data that can be used to create key feature vectors that are scale, rotation, and shift invariant. These key feature vectors produce
Glenn R. Easley, Monica Barbu-McInnis, Demetrio Labate   +2 more
openaire   +1 more source

Processing Medical Images by new several mathematics shearlet transform

, 2020
Текст статьи не публикуется в открытом доступе в соответствии с политикой журнала.A new methodology is shown to perform medical image processing by the shearlet transform. The contours of the processed images are obtained and compared with those obtained
Zotin, S., Espinosa, N., Cadena, L., Kirillova, S., Cadena, F., Barkova, D.   +5 more
core  

An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images

CAAI Transactions on Intelligence Technology, Volume 10, Issue 3, Page 842-857, June 2025.
Abstract Breast cancer is one of the major causes of deaths in women. However, the early diagnosis is important for screening and control the mortality rate. Thus for the diagnosis of breast cancer at the early stage, a computer‐aided diagnosis system is highly required.
Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori   +6 more
wiley   +1 more source

Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform

Remote Sensing, 2022
This study based on co-occurrence analysis shearlet transform (CAST) effectively combines the latent low rank representation (LatLRR) and the regularization of zero-crossing counting in differences to fuse the heterogeneous images.
Biao Qi, Longxu Jin, Guoning Li, Yu Zhang, Qiang Li, Guoling Bi, Wenhua Wang   +6 more
doaj   +1 more source

A Time‐Adaptive Diffusion‐Based CT Image Denoising Method by Processing Directional and Non‐Local Information

International Journal of Imaging Systems and Technology, Volume 35, Issue 2, March 2025.
ABSTRACT Low‐dose computed tomography (CT) images are prone to noise and artifacts caused by photon starvation and electronic noise. Recently, researchers have explored the use of transformer‐based neural networks combined with generative diffusion models, showing promising results in denoising CT images.
Farzan Niknejad Mazandarani, Paul Babyn, Javad Alirezaie   +2 more
wiley   +1 more source

Efficient design of a low redundant discrete shearlet transform

, 2009
Recently, there has been a huge interest in multiresolution representations that also perform a multidirectional analysis. The Shearlet transform provides both a multiresolution analysis (such as the wavelet transform), and at the same time an optimally ...
Goossens, Bart, Luong, Hiep, Hiep Luong, Aleksandra Pizurica, Aelterman, Jan, Pizurica, Aleksandra, Jan Aelterman, Wilfried Philips, Bart Goossens, Philips, Wilfried   +9 more
core   +1 more source