An Improved Image Semantic Segmentation Method Based on Superpixels and Conditional Random Fields
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
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Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images
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
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Corrosion defect segmentation method based on superpixel feature cascade
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
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Superpixel Segmentation Based on Grid Point Density Peak Clustering. [PDF]
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]
Chang CW +6 more
europepmc +1 more source
Erratum: ‘Fast algorithm based on superpixel‐level conditional triplet Markov field for successive‐approximation resistor image segmentation’ [PDF]
openalex +1 more source
Pellet Image Segmentation Model of Superpixel Feature-Based Support Vector Machine in Digital Twin
Weining Ma +5 more
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Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification
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
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Superpixel segmentation based on image density [PDF]
Dongfang Qiu +3 more
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Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood
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
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