Results 71 to 80 of about 6,662,539 (239)

Face Image Segmentation Using Boosted Grey Wolf Optimizer

Biomimetics, 2023
Image segmentation methods have received widespread attention in face image recognition, which can divide each pixel in the image into different regions and effectively distinguish the face region from the background for further recognition.
Hongliang Zhang, Zhennao Cai, Lei Xiao, Ali Asghar Heidari, Huiling Chen, Dong Zhao, Shuihua Wang, Yudong Zhang   +7 more
doaj   +1 more source

Construction of image segmentation system combining TC and swarm intelligence algorithm

Nonlinear Engineering
Considering the slow convergence speed and local optima in most current swarm intelligence algorithms for image segmentation, this study combines the thresholding clustering with intelligent algorithms.
Wang Yongtao
doaj   +1 more source

An efficient approach for optimal multilevel thresholding selection for gray scale images based on improved differential search algorithm

Ain Shams Engineering Journal, 2018
Segmentation is one of the important steps for image analysis. Multilevel thresholding image segmentation was more popular in image segmentation. Otsu and Kapur based methods are most popular for multilevel threshold image segmentation.
Sowjanya Kotte, P. Rajesh Kumar, Satish Kumar Injeti   +2 more
doaj   +1 more source

A Survey on Medical Image Segmentation Based on Deep Learning Techniques

Big Data and Cognitive Computing, 2022
Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep learning medical field, including the major common issues published in recent
Jayashree Moorthy, Usha Devi Gandhi
doaj   +1 more source

AutoSegNet: An Automated Neural Network for Image Segmentation

IEEE Access, 2020
Neural Architecture Search (NAS) has drawn significant attention as a tool for automatically constructing deep neural networks. The generated neural networks are mainly applied for image classification, and natural language processing. However, there are
Zhimin Xu, Si Zuo, Edmund Y. Lam, Byoungho Lee, Ni Chen   +4 more
doaj   +1 more source

Image Segmentation Based on Deep Learning:A Survey [PDF]

Jisuanji kexue
Image segmentation is a fundamental task in computer vision and its main purpose is to extract meaningful and cohe-rent regions from the image input.Over the years,a wide variety oftechniques have been developed in the field of image segmentation ...
HUANG Wenke, TENG Fei, WANG Zidan, FENG Li
doaj   +1 more source

Lung image segmentation via generative adversarial networks

Frontiers in Physiology
IntroductionLung image segmentation plays an important role in computer-aid pulmonary disease diagnosis and treatment.MethodsThis paper explores the lung CT image segmentation method by generative adversarial networks.
Jiaxin Cai, Hongfeng Zhu, Siyu Liu, Yang Qi, Rongshang Chen   +4 more
doaj   +1 more source

A New Nonlinear Diffusion Equation Model for Noisy Image Segmentation

Advances in Mathematical Physics, 2016
Image segmentation and image denoising are two important and fundamental topics in the field of image processing. Geometric active contour model based on level set method can deal with the problem of image segmentation, but it does not consider the ...
Bo Chen, Xiao-Hui Zhou, Li-Wei Zhang, Jie Wang, Wei-Qiang Zhang, Chen Zhang   +5 more
doaj   +1 more source

Adaptive scale segmentation algorithm for polarimetric SAR image

The Journal of Engineering, 2019
Polarimetric SAR (PolSAR) data can be characterised by scattering matrix, which contains four elements. It is difficult to merge all the elements of the scattering matrix for segmentation.
Yifan Xu, Aifang Liu, Long Huang
doaj   +1 more source

Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches

Bioengineering
Medical image segmentation plays a critical role in accurate diagnosis and treatment planning, enabling precise analysis across a wide range of clinical tasks. This review begins by offering a comprehensive overview of traditional segmentation techniques,
Yan Xu, Rixiang Quan, Weiting Xu, Yi Huang, Xiaolong Chen, Fengyuan Liu   +5 more
semanticscholar   +1 more source