Results 91 to 100 of about 762,837 (162)

Construction of Meyer Wavelet Using Fully Smooth Sigmiod Function

Journal of Harbin University of Science and Technology, 2019
In order to obtain better smooth effect in signal or image reconstruction, the regularity or continuous differentiability of wavelet must be increased as much as possible.
SHAO Yun-hong, DENG Cai-xia, HE Peng
doaj   +1 more source

An Infrared and Visible Image Fusion Algorithm Based on LSWT-NSST

IEEE Access, 2020
Regarding the problems of image distortion, edge blurring, Gibbs phenomena in the traditional wavelet transform algorithm and the loss of subtle features in the Non-Subsampled Shearlet Transform (NSST), and considering the physical characteristics of ...
Li Junwu, Binhua Li, Yaoxi Jiang
doaj   +1 more source

An adaptive neuro‐fuzzy inference system optimized by genetic algorithm for brain tumour detection in magnetic resonance images

IET Image Processing, Volume 18, Issue 5, Page 1358-1372, 17 April 2024.
An adaptive neuro‐fuzzy inference system is presented based on an optimization of genetic algorithm to classify normal and abnormal brain tumours. Abstract An adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours.
Marzieh Ghahramani, Nabiollah Shiri
wiley   +1 more source

Deep learning‐based methods for detecting defects in cast iron parts and surfaces

IET Image Processing, Volume 18, Issue 1, Page 47-58, 10 January 2024.
First, this article used multiple data augmentation methods to alleviate the problem of small sample size in casting datasets. Second, attention mechanism was introduced. Finally, a novel feature fusion layer structure was adopted to improve the original network model.
Pengyu Wang, Peng Jing
wiley   +1 more source

The algorithm for extracting surface defects from ZrO2 ceramic bearing balls using shearlet transform image enhancement

AIP Advances
To solve the problems of noise coverage defect and low contrast between the defect and the background of ZrO2 ceramic bearing balls, a surface defect extraction algorithm based on shearlet transform image enhancement for ZrO2 ceramic bearing balls is ...
Dahai Liao, Xin Xia, Xianqi Liao, Qi Zheng, Changfu Fang, Nanxing Wu   +5 more
doaj   +1 more source

Processing Medical Images by new several mathematics shearlet transform

, 2017
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  

Hyperspectral image classification using non-subsampled shearlet transform

, 2017
: In this paper a new supervised classification method for hyperspectral image is introduced. In the proposed method first, 2D non-subsampled shearlet transform is applied to each spectral band of hyperspectral images.
Soleimanzadeh, Mohammad Reza, Karami, Azam, Azam Karami, Mohamad Reza Soleimanzadeh   +3 more
core   +1 more source

mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features

International Journal of Intelligent Systems, Volume 2024, Issue 1, 2024.
Breast cancer characterization remains a significant and challenging issue in contemporary medicine. Accurately distinguishing between malignant and benign breast lesions is crucial for effective diagnosis and treatment. The anatomical structure of malignant breast ultrasound images is more chaotic than that of benign images due to disease pathologies.
Lipismita Panigrahi, Tej Bahadur Chandra, Atul Kumar Srivastava, Neeraj Varshney, Kamred Udham Singh, Shambhu Mahato, Vasudevan Rajamohan   +6 more
wiley   +1 more source

Feature Extraction with Discrete Non-Separable Shearlet Transform and Its Application to Surface Inspection of Continuous Casting Slabs

Applied Sciences, 2019
A new feature extraction technique called DNST-GLCM-KSR (discrete non-separable shearlet transform-gray-level co-occurrence matrix-kernel spectral regression) is presented according to the direction and texture information of surface defects of ...
Xiaoming Liu, Ke Xu, Peng Zhou, Huajie Liu   +3 more
doaj   +1 more source

Sparse Regularization Based on Orthogonal Tensor Dictionary Learning for Inverse Problems

Mathematical Problems in Engineering, Volume 2024, Issue 1, 2024.
In seismic data processing, data recovery including reconstruction of the missing trace and removal of noise from the recorded data are the key steps in improving the signal‐to‐noise ratio (SNR). The reconstruction of seismic data and removal of noise becomes a sparse optimization problem that can be solved by using sparse regularization.
Diriba Gemechu, Francisco Rossomando
wiley   +1 more source