Results 71 to 80 of about 2,106 (179)
Automatic glioma segmentation based on adaptive superpixel
BMC Medical Imaging, 2019 Background The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging.
Yaping Wu +4 more
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IET Image ProcessingThe fuzzy C‐means clustering (FCM) algorithm is widely used in greyscale and colour image segmentation, especially in real colour images. However, in the process of interested regions extraction, it performs barely satisfactory due to the use of single ...
Xie Zeyu +3 more
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Adaptive Superpixel Segmentation-Based Coastline Extraction Method for PolSAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingTo 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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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
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Text segmentation using superpixel clustering
IET Image Processing, 2017 Text segmentation is important for text image analysis and recognition; however, it is challenging due to noise and complex background in natural scenes. Superpixel‐based image representation can enhance robustness to noise and local disturbances, but conventional superpixel algorithms are difficult to obtain the complete stroke regions and accurate ...
Yuanping Zhu, Kuang Zhang
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Corrosion defect segmentation method based on superpixel feature cascade
Ain Shams Engineering JournalTo 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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Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015 Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda +3 more
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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 +6 more
europepmc +1 more source
Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification
Remote SensingSuperpixel 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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