Results 1 to 10 of about 529,307 (154)
Deep learning approach based on superpixel segmentation assisted labeling for automatic pressure ulcer diagnosis. [PDF]
PLoS One, 2022 A pressure ulcer is an injury of the skin and underlying tissues adjacent to a bony eminence. Patients who suffer from this disease may have difficulty accessing medical care. Recently, the COVID-19 pandemic has exacerbated this situation.
Chang CW +6 more
europepmc +2 more sources
Robust Superpixel Segmentation for Hyperspectral-Image Restoration [PDF]
Entropy, 2023 Hyperspectral-image (HSI) restoration plays an essential role in remote sensing image processing. Recently, superpixel segmentation-based the low-rank regularized methods for HSI restoration have shown outstanding performance.
Ya-Ru Fan
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Color detection of printing based on improved superpixel segmentation algorithm [PDF]
Scientific ReportsWe propose an improved superpixel segmentation algorithm based on visual saliency and color entropy for online color detection in printed products. This method addresses the issues of low accuracy and slow speed in detecting color deviations in print ...
Hongwu Zhan +4 more
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Superpixel Segmentation Based on Anisotropic Edge Strength [PDF]
Journal of Imaging, 2019 Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels.
Gang Wang, Bernard De Baets
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A Comprehensive Review and New Taxonomy on Superpixel Segmentation [PDF]
ACM Computing SurveysSuperpixel segmentation consists of partitioning images into regions composed of similar and connected pixels. Its methods have been widely used in many computer vision applications, since it allows for reducing the workload, removing redundant ...
Silvio Jamil F Guimaraes +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSemantic segmentation of high-resolution remote sensing images is crucial in ecological evaluation, natural resource surveys, etc. Compared with CNN-based and transformer-based methods, graph neural networks (GNNs) have drawn increasing attention because
Ying Tang, Xiangyun Hu, Tao Ke, Mi Zhang
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingMost of the existing superpixel segmentation-based synthetic aperture radar (SAR) target detection algorithms cannot keep the independence of small targets under complex background, especially when the size of the targets varies greatly.
Shichao Chen +5 more
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Adaptive Superpixel Segmentation of Marine SAR Images by Aggregating Fisher Vectors
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Superpixel segmentation is an important technique for image analysis. In this article, we develop a new superpixel segmentation approach and investigate its application on ship target detection in marine synthetic aperture radar (SAR) images.
Gang Li, You He, Xueqian Wang
exaly +3 more sources
Multiscale Superpixel Segmentation With Deep Features for Change Detection
IEEE Access, 2019 In this paper, a novel change detection technique is proposed based on multiscale superpixel segmentation and stacked denoising autoencoders (SDAE). This approach is designed to achieve superpixel-based change detection, in which the basic analysis unit ...
Yu Lei, Jiao Shi, Jiao Shi
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A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Recent developments in hyperspectral sensors have made it possible to acquire hyperspectral images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures.
Subhashree Subudhi +3 more
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