Results 101 to 110 of about 9,167 (192)

An Improved Image Semantic Segmentation Method Based on Superpixels and Conditional Random Fields

Applied Sciences, 2018
This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different ...
Wei Zhao, Yi Fu, Xiaosong Wei, Hai Wang
doaj   +1 more source

Corrosion defect segmentation method based on superpixel feature cascade

Ain Shams Engineering Journal
To solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper.
Lingyu Sun, Yang Li, Xinbao Li, Chengyan Liu   +3 more
doaj   +1 more source

Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
To improve the accuracy of coastline extraction for polarimetric synthetic aperture radar (PolSAR) images, an adaptive superpixel segmentation-based method is proposed.
Yu Wang, Zhanying Ma, Mengmeng Li, Yu Li, Xue Shi, Xuemei Zhao   +5 more
doaj   +1 more source

Superpixel Segmentation Based on Grid Point Density Peak Clustering. [PDF]

Sensors (Basel), 2021
Chen X, Peng X, Wang S.
europepmc   +1 more source

Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis. [PDF]

PLoS One, 2022
Chang CW, Christian M, Chang DH, Lai F, Liu TJ, Chen YS, Chen WJ.   +6 more
europepmc   +1 more source

Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification

Remote Sensing
Superpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu, Mengxuan Zhang, Kun Ma, Long Liu, Junwei Wan, Jinyong Chen, Jie Chen, Hongcheng Zeng   +7 more
doaj   +1 more source

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

Superpixel Segmentation: An Evaluation

, 2015
In recent years, superpixel algorithms have become a standard tool in computer vision and many approaches have been proposed. However, different evaluation methodologies make direct comparison difficult. We address this shortcoming with a thorough and fair comparison of thirteen state-of-the-art superpixel algorithms.
openaire   +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