Results 21 to 30 of about 340,289 (296)

The Active Segmentation Platform for Microscopic Image Classification and Segmentation

Brain Sciences, 2021
Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image segmentation algorithms are problem-specific and limited in scope.
Sumit K. Vohra, Dimiter Prodanov
doaj   +1 more source

A rapid detection method for UAV-borne high-resolution SAR image targets [PDF]

Zhihui kongzhi yu fangzhen, 2023
Aiming at the limited space and resources of the UAV platform, the inaccurate target labeling and excessive calculation amount of high-resolution SAR image detection, a rapid detection method for UAV-borne high-resolution SAR image targets is proposed ...
WANG Zhongbao, YIN Kuiying
doaj   +1 more source

HT-Net: A Hybrid Transformer Network for Fundus Vessel Segmentation

Sensors, 2022
Doctors usually diagnose a disease by evaluating the pattern of abnormal blood vessels in the fundus. At present, the segmentation of fundus blood vessels based on deep learning has achieved great success, but it still faces the problems of low accuracy ...
Xiaolong Hu, Liejun Wang, Yongming Li
doaj   +1 more source

Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images

IEEE Access, 2019
Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is ...
Kaijian Xia, Hongsheng Yin, Pengjiang Qian, Yizhang Jiang, Shuihua Wang   +4 more
doaj   +1 more source

Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition [PDF]

, 2017
This paper focuses on multi-scale approaches for variational methods and corresponding gradient flows. Recently, for convex regularization functionals such as total variation, new theory and algorithms for nonlinear eigenvalue problems via nonlinear ...
A Chambolle, A Haddad, A Hoover, C Brune, C Wu, C Zach, D Strong, G Bellettini, G Gilboa, G Gilboa, G Gilboa, J Yuan, JF Aujol, L Zeune, M Burger, M Burger, M Nikolova, S Osher, TF Chan, V Caselles, V Duval, W Yin, Y Dong   +22 more
core   +3 more sources

Selected Applications of Scale Spaces in Microscopic Image Analysis

Cybernetics and Information Technologies, 2015
Image segmentation methods can be classified broadly into two classes: intensity-based and geometry-based. Edge detection is the base of many geometry-based segmentation approaches.
Prodanov Dimiter, Konopczynski Tomasz, Trojnar Maciej   +2 more
doaj   +1 more source

DroTrack: High-speed Drone-based Object Tracking Under Uncertainty

, 2020
We present DroTrack, a high-speed visual single-object tracking framework for drone-captured video sequences. Most of the existing object tracking methods are designed to tackle well-known challenges, such as occlusion and cluttered backgrounds.
Hamdi, Ali, Kim, Du Yong, Salim, Flora
core   +1 more source

Attention Guided Encoder-Decoder Network With Multi-Scale Context Aggregation for Land Cover Segmentation

IEEE Access, 2020
Land cover segmentation is an important and challenging task in the field of remote sensing. Even though convolutional neural networks (CNNs) provide great support for semantic segmentation, standard models are still difficult to capture global ...
Shuyang Wang, Xiaodong Mu, Dongfang Yang, Hao He, Peng Zhao   +4 more
doaj   +1 more source

SASO: Joint 3D semantic‐instance segmentation via multi‐scale semantic association and salient point clustering optimization

IET Computer Vision, 2021
Jointly performing semantic and instance segmentation of 3D point cloud remains a challenging task. In this work, a novel framework called joint 3D semantic‐instance segmentation via multi‐scale Semantic Association and Salient point clustering ...
Jingang Tan, Lili Chen, Kangru Wang, Jiamao Li, Xiaolin Zhang   +4 more
doaj   +1 more source

Learning Rigid Image Registration - Utilizing Convolutional Neural Networks for Medical Image Registration [PDF]

, 2018
Many traditional computer vision tasks, such as segmentation, have seen large step-changes in accuracy and/or speed with the application of Convolutional Neural Networks (CNNs).
Goatman, K.A., Siebert, J.P., Sloan, J.M.   +2 more
core   +1 more source