Results 101 to 110 of about 10,393 (248)

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

open access: yesApplied 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

Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images

open access: yesIEEE 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   +5 more
doaj   +1 more source

Corrosion defect segmentation method based on superpixel feature cascade

open access: yesAin 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   +3 more
doaj   +1 more source

Pellet Image Segmentation Model of Superpixel Feature-Based Support Vector Machine in Digital Twin

open access: green, 2023
Weining Ma   +5 more
openalex   +1 more source

Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification

open access: yesRemote 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   +7 more
doaj   +1 more source

Superpixel segmentation based on image density [PDF]

open access: gold, 2023
Dongfang Qiu   +3 more
openalex   +1 more source

Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood

open access: yesIET 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   +5 more
doaj   +1 more source

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