Results 11 to 20 of about 2,482,901 (176)

Multimodal medical image fusion algorithm based on pulse coupled neural networks and nonsubsampled contourlet transform. [PDF]

Med Biol Eng Comput, 2023
Combining two medical images from different modalities is more helpful for using the resulting image in the healthcare field. Medical image fusion means combining two or more images coming from multiple sensors.
Ibrahim SI, Makhlouf MA, El-Tawel GS.
europepmc   +2 more sources

Visibility and Distortion Measurement for No-Reference Dehazed Image Quality Assessment via Complex Contourlet Transform

IEEE transactions on multimedia, 2023
Recently, most dehazed image quality assessment (DQA) methods have focused on estimating remaining haze and omitting distortion impact from the side effect of dehazing algorithms, which leads to their limited performance.
Tuxin Guan, Chaofeng Li, Ke Gu, Hantao Liu, Yuhui Zheng, Xiao-jun Wu   +5 more
semanticscholar   +1 more source

MRI Brain Tumor Detection Methods Using Contourlet Transform Based on Time Adaptive Self-Organizing Map

IEEE Access, 2023
The brain is one of the most complex organs in the body, composed of billions of cells that work together to ensure proper functioning. However, when cells divide in a disorderly manner, abnormal growths can occur, forming colonies that can disrupt the ...
A. Farzamnia, Seyed Hamidreza Hazaveh, Seyede Safieh Siadat, E. Moung   +3 more
semanticscholar   +1 more source

Denoising Method for Passive Photon Counting Images Based on Block-Matching 3D Filter and Non-Subsampled Contourlet Transform. [PDF]

Sensors (Basel), 2019
Multi-pixel photon counting detectors can produce images in low-light environments based on passive photon counting technology. However, the resulting images suffer from problems such as low contrast, low brightness, and some unknown noise distribution ...
Wang X, Yin L, Gao M, Wang Z, Shen J, Zou G.   +5 more
europepmc   +2 more sources

Image Haze Removal Algorithm Based on Nonsubsampled Contourlet Transform

IEEE Access, 2023
In order to avoid the noise diffusion and amplification caused by traditional dehazing algorithms, a single image haze removal algorithm based on nonsubsampled contourlet transform (HRNSCT) is proposed. The HRNSCT removes haze only from the low-frequency
Bowen Zhang, Manli Wang, Xiaobo Shen
semanticscholar   +1 more source

Gastrointestinal polyp detection through a fusion of contourlet transform and Neural features

Journal of King Saud University: Computer and Information Sciences, 2020
The gastrointestinal polyp (GIP) is the abnormal growth of tissues in digestive organs. Identifying these polyps from endoscopy video or image is a tremendous task to reduce the future risk of gastrointestinal cancer.
M. Hasan, Nazrul Islam, Mohammad Motiur Rahman   +2 more
semanticscholar   +1 more source

Combining Segmentation Network and Nonsubsampled Contourlet Transform for Automatic Marine Raft Aquaculture Area Extraction from Sentinel-1 Images

Remote Sensing, 2020
Marine raft aquaculture (MFA) plays an important role in the marine economy and ecosystem. With the characteristics of covering a large area and being sparsely distributed in sea area, MFA monitoring suffers from the low efficiency of field survey and ...
Yi Zhang, Chengyi Wang, Y. Ji, Jingbo Chen, Yupeng Deng, J. Chen, Yongshi Jie   +6 more
semanticscholar   +1 more source

Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM

Energy Exploration & Exploitation
The increasing complexity of modern power systems, driven by smart grid technologies, dispersed generation, and renewable energy sources, has made power quality (PQ) evaluation more challenging.
P. Sinha, Kaushik Paul, Asit Mohanty, I. Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, A. Althobaiti, Hany S. Hussein, T. A. Alghamdi, A. Ewais   +11 more
semanticscholar   +1 more source

A Real‐Time Semantic Segmentation Network with Boundary‐Focused and Multi‐Scale Context Fusion

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper proposes BFMSNet, a lightweight real‐time semantic segmentation network designed to enhance boundary precision and multi‐scale context understanding. The model integrates a boundary refinement module, a hybrid boundary loss, and a lightweight multi‐scale fusion module based on wavelet convolution, achieving competitive accuracy and real‐time
Shan Zhao, Jing Ning, Fukai Zhang, Zhanqiang Huo, Yingxu Qiao   +4 more
wiley   +1 more source

Gradient‐Aware Multiscale Feature Enhancement With Reliability Attention for Multi‐Focus Image Fusion

IET Image Processing, Volume 20, Issue 1, January/December 2026.
We propose MSFE‐Net, an algorithm for multi‐focus image fusion that combines gradient‐aware multi‐scale feature enhancement, focus‐reliability attention based on local‐variance statistics, and an enhanced spatial frequency fusion strategy using four‐directional gradients with local context and morphological refinement to produce robust decision maps ...
Haifeng Gong, Wen Liu, Yaofeng Wu, Xu Liang, Junhao Huang, Jun Xiao, Han Wang, Xiang Yan   +7 more
wiley   +1 more source