Results 81 to 90 of about 2,106 (179)

Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood

IET Computer Vision, 2014
In this study, the authors present a method to extract moving objects in image sequences. The proposed approach is based on a graph cuts algorithm defined on a spatiotemporal superpixel neighbourhood.
Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, Gang Zhou   +5 more
doaj   +1 more source

Boundary-preserving superpixel segmentation

Journal of Applied Science and Engineering
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin, Zhao Li, Chenxun Yuan, Yi Liu   +3 more
doaj   +1 more source

Improved 3D Fracture Reconstruction Method Based on Superpixel Segmentation and Convolutional Neural Network

Applied Sciences
The morphology and connectivity of subsurface fracture networks are critical factors controlling wellbore stability and hydraulic fracturing efficiency.
Xiuxia Sun, Yongdong Fan, Yan Jin, Yunhu Lu, Botao Lin, Xiao Zhang   +5 more
doaj   +1 more source

Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Superpixel segmentation is an essential step of object-oriented remote sensing image classification; the accuracy of the superpixel segmentation boundary will directly affect the classification result.
Xiaoli Li, Jinsong Chen, Longlong Zhao, Hongzhong Li, Jin Wang, Luyi Sun, Shanxin Guo, Pan Chen, Xuemei Zhao   +8 more
doaj   +1 more source

AINet: Association Implantation for Superpixel Segmentation [PDF]

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu 0003, Yi Yang 0001   +4 more
openaire   +2 more sources

Rapid Recognition of Field-Grown Wheat Spikes Based on a Superpixel Segmentation Algorithm Using Digital Images. [PDF]

Front Plant Sci, 2020
Tan C, Zhang P, Zhang Y, Zhou X, Wang Z, Du Y, Mao W, Li W, Wang D, Guo W.   +9 more
europepmc   +1 more source

USNet: underwater image superpixel segmentation via multi-scale water-net

Frontiers in Marine Science
Underwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility.
Chuhong Wang, Chuhong Wang, Wenli Duan, Chengche Luan, Junyan Liang, Lengyu Shen, Hua Li   +6 more
doaj   +1 more source

Research on Fine Water Body Extraction From SAR Images Based on Superpixel Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The water body extraction technology based on superpixel segmentation in SAR images faces challenges such as insufficient precision in extracting fine water boundaries under speckle noise and complex scattering conditions.
Fengcheng Guo, Xiaoxiao Ma, Ning Sun, Lianpeng Zhang, Wensong Liu   +4 more
doaj   +1 more source

Local Competition-Based Superpixel Segmentation Algorithm in Remote Sensing. [PDF]

Sensors (Basel), 2017
Liu J, Tang Z, Cui Y, Wu G.
europepmc   +1 more source

Optimal seamline detection for SAR image mosaicking guided by superpixel segmentation and region merging. [PDF]

PLoS One
Yan D, Zeng F, Chen B, Huang R, She Y.
europepmc   +1 more source