Results 101 to 110 of about 471,167 (221)
An Object-Aware Network Embedding Deep Superpixel for Semantic Segmentation of Remote Sensing Images
Remote SensingSemantic segmentation forms the foundation for understanding very high resolution (VHR) remote sensing images, with extensive demand and practical application value.
Ziran Ye +5 more
doaj +1 more source
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
doaj +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
Advanced Intelligent Systems, Volume 7, Issue 8, August 2025.AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel +7 more
wiley +1 more source
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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Detecting Changes in Space‐Varying Parameters of Local Poisson Point Processes
Environmetrics, Volume 36, Issue 5, July 2025.ABSTRACT Recent advances in local models for point processes have highlighted the need for flexible methodologies to account for the spatial heterogeneity of external covariates influencing process intensity. In this work, we introduce tessellated spatial regression, a novel framework that extends segmented regression models to spatial point processes,
Nicoletta D'Angelo
wiley +1 more source
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
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
doaj +1 more source
Unsupervised instance segmentation with superpixels
Pattern RecognitionInstance segmentation is essential for numerous computer vision applications, including robotics, human-computer interaction, and autonomous driving. Currently, popular models bring impressive performance in instance segmentation by training with a large number of human annotations, which are costly to collect.
openaire +2 more sources
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
doaj +1 more source
Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation
DronesGiven the escalating frequency and severity of global forest fires, it is imperative to develop advanced detection and segmentation technologies to mitigate their impact.
Yunjie Mu +4 more
semanticscholar +1 more source