Results 91 to 100 of about 3,488 (207)
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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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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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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Superpixel-based segmentation of muscle fibers in multi-channel microscopy [PDF]
, 2016 Background Confetti fluorescence and other multi-color genetic labelling strategies are useful for observing stem cell regeneration and for other problems of cell lineage tracing.
Peter T. C. So +7 more
core +1 more source
Fast and Effective Superpixel Segmentation using Accurate Saliency Estimation
, 2022 International audienceSuperpixels through Iterative CLEarcutting (SICLE) is a recently proposed framework for superpixel segmentation. SICLE consists of three steps: (i) seed oversampling; (ii) superpixel generation; and (iii) seed removal; such that ...
João, Leonardo +6 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
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
openaire +2 more sources
Superpixel Segmentation Systems: Design and Analysis
, 2019 Image segmentation is a partitioning of an image into distinct groups of pixels (“regions”), each region preferably spatially connected, where each region ideally corresponds to an object or other semantically meaningful scene component.
Malladi, Sree Ramya Surya Prabha
core
Learning contextual superpixel similarity for consistent image segmentation
, 2019 International audienceThis paper addresses the problem of image segmentation by iterative region aggregations starting from an initial superpixel decomposition.
Chaibou Salaou, Mahaman Sani +4 more
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