Results 11 to 20 of about 9,139 (221)
Superpixels: An evaluation of the state-of-the-art [PDF]
Computer Vision and Image Understanding, 2016 Superpixels group perceptually similar pixels to create visually meaningful entities while heavily reducing the number of primitives for subsequent processing steps.
David Stutz, Alexander Hermans, B. Leibe
semanticscholar +4 more sources
Rooted Spanning Superpixels [PDF]
International Journal of Computer Vision, 2020 This paper proposes a new approach for superpixel segmentation. It is formulated as finding a rooted spanning forest of a graph with respect to some roots and a path-cost function.
Dengfeng Chai
semanticscholar +2 more sources
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels [PDF]
Pattern Recognition Letters, 2022 Prior studies using graph neural networks (GNNs) for image classification have focused on graphs generated from a regular grid of pixels or similar-sized superpixels.
V. Vasudevan +3 more
semanticscholar +1 more source
Unsupervised Segmentation of Hyperspectral Remote Sensing Images with Superpixels [PDF]
Remote Sensing Applications Society and Environment, 2022 In this paper, we propose an unsupervised method for hyperspectral remote sensing image segmentation. The method exploits the mean-shift clustering algorithm that takes as input a preliminary hyperspectral superpixels segmentation together with the ...
Mirko Paolo Barbato +3 more
semanticscholar +1 more source
Pseudo-Label Refinement Using Superpixels for Semi-Supervised Brain Tumour Segmentation [PDF]
IEEE International Symposium on Biomedical Imaging, 2021 Training neural networks using limited annotations is an important problem in the medical domain. Deep Neural Networks (DNNs) typically require large, annotated datasets to achieve acceptable performance which, in the medical domain, are especially ...
Bethany H. Thompson +2 more
semanticscholar +1 more source
Remote Sensing, 2023 Superpixel-based classification using Active Learning (AL) has shown great potential in high spatial resolution remote sensing image classification tasks.
Jiechen Tang +4 more
doaj +1 more source
Temporally Consistent Superpixels [PDF]
2013 IEEE International Conference on Computer Vision, 2013 Super pixel algorithms represent a very useful and increasingly popular preprocessing step for a wide range of computer vision applications, as they offer the potential to boost efficiency and effectiveness. In this regards, this paper presents a highly competitive approach for temporally consistent super pixels for video content. The approach is based
Matthias Reso +3 more
openaire +6 more sources
Point Label Aware Superpixels for Multi-Species Segmentation of Underwater Imagery [PDF]
IEEE Robotics and Automation Letters, 2022 Monitoring coral reefs using underwater vehicles increases the range of marine surveys and availability of historical ecological data by collecting significant quantities of images.
Scarlett Raine +4 more
semanticscholar +1 more source
TurboPixels: Fast Superpixels Using Geometric Flows
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009 Sven Dickinson +2 more
exaly +2 more sources
Refining skin lesions classification performance using geometric features of superpixels
Scientific Reports, 2023 This paper introduces superpixels to enhance the detection of skin lesions and to discriminate between melanoma and nevi without false negatives, in dermoscopy images. An improved Simple Linear Iterative Clustering (iSLIC) superpixels algorithm for image
Simona Moldovanu +4 more
semanticscholar +1 more source