Results 11 to 20 of about 4,342 (209)
Scale-Adaptive Superpixels [PDF]
Color and Imaging Conference, 2018 Size uniformity is one of the prominent features of superpixels. However, size uniformity rarely conforms to the varying content of an image. The chosen size of the superpixels therefore represents a compromise - how to obtain the fewest superpixels without losing too much important detail.
Achanta, Radhakrishna +3 more
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Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels
Remote Sensing, 2019 We present a flexible methodology to identify forest loss in synthetic aperture radar (SAR) L-band ALOS/PALSAR images. Instead of single pixel analysis, we generate spatial segments (i.e., superpixels) based on local image statistics to track homogeneous
Charlie Marshak +2 more
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Deep Spherical Superpixels [PDF]
Over the years, the use of superpixel segmentation has become very popular in various applications, serving as a preprocessing step to reduce data size by adapting to the content of the image, regardless of its semantic content. While the superpixel segmentation of standard planar images, captured with a 90° field of view, has been extensively studied,
Rémi Giraud, Michaël Clément
core +5 more sources
An evaluation of the compactness of superpixels
Pattern Recognition Letters, 2014 Abstract Superpixel segmentation is the oversegmentation of an image into a connected set of homogeneous regions. Depending on the algorithm, superpixels have specific properties. One property that almost all authors claim for their superpixels is compactness.
Schick, A. +2 more
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Automatic Image Segmentation With Superpixels and Image-Level Labels
IEEE Access, 2019 Automatically and ideally segmenting the semantic region of each object in an image will greatly improve the precision and efficiency of subsequent image processing.
Xinlin Xie +4 more
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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
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Robust Superpixel Tracking [PDF]
IEEE Transactions on Image Processing, 2014 While numerous algorithms have been proposed for object tracking with demonstrated success, it remains a challenging problem for a tracker to handle large appearance change due to factors such as scale, motion, shape deformation, and occlusion. One of the main reasons is the lack of effective image representation schemes to account for appearance ...
Fan Yang 0016 +2 more
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A Superpixel-by-Superpixel Clustering Framework for Hyperspectral Change Detection
Remote Sensing, 2022 Hyperspectral image change detection (HSI-CD) is an interesting task in the Earth’s remote sensing community. However, current HSI-CD methods are feeble at detecting subtle changes from bitemporal HSIs, because the decision boundary is partially stretched by strong changes so that subtle changes are ignored.
Qiuxia Li +12 more
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Heterogeneous Images Change Detection Based on Iterative Joint Global–Local Translation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Most heterogeneous change detection methods based on transfer learning may not yield satisfactory results due to the lack of comprehensive utilization of the global and local characteristics of the image.
Hao Chen, Fachuan He, Jinming Liu
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Self-Adaptive Superpixels Based on Neural Network Models
IEEE Access, 2020 In this paper, the self-adaptive superpixels are generated based on a neural network model. Superpixels are clusters of pixels, which can simplify the expression of images. Superpixels are widely used in the field of video/image processing.
Xiuxiu Bai, Cong Wang, Zhiqiang Tian
doaj +1 more source