Results 1 to 10 of about 13,361 (217)
Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++) [PDF]
Sensors, 2022 Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel.
Manzoor Ahmed Hashmani +5 more
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Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters
International Journal of Applied Earth Observations and Geoinformation, 2022 Converting an image to a set of superpixels is a useful preprocessing step in many computer vision applications; it reduces the dimensionality of the data and removes noise. The most popular superpixels algorithm is the Simple Linear Iterative Clustering
Jakub Nowosad, Tomasz F. Stepinski
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Remote Sensing, 2019 Automatic building extraction using a single data type, either 2D remotely-sensed images or light detection and ranging 3D point clouds, remains insufficient to accurately delineate building outlines for automatic mapping, despite active research in this
Haiqing He, Dajun Li
exaly +4 more sources
IEEE Access, 2022 Plant diseases lead to severe losses in crop yield worldwide. The conventional approach for diagnosing diseases relies on manual scouting. In recent years, advances in convolutional neural networks have motivated the use of deep learning-based computer ...
Hieu Phan +2 more
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Discriminating crops/weeds in an upland rice field from UAV images with the SLIC-RF algorithm
Plant Production Science, 2020 In this study, we propose a method for discriminating crops/weeds in upland rice fields using a commercial unmanned aerial vehicles (UAVs) and red-green-blue (RGB) cameras with the simple linear iterative clustering (SLIC) algorithm and random forest (RF)
Kensuke Kawamura +4 more
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SLIC-Former: a superpixel-guided transformer framework for automatic liver segmentation in CT images [PDF]
Scientific ReportsAccurate and efficient liver segmentation from computed tomography (CT) images remains a critical challenging task due to the organ’s irregular shape, variable intensity, and lies close to surrounding organs with similar appearance.
Sarah F. Elqersh +3 more
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Remote Sensing, 2019 Fast and accurate classification of high spatial resolution remote sensing image is important for many applications. The usage of superpixels in classification has been proposed to accelerate the speed of classification.
Hengjian Tong, Fei Tong, Yun Zhang
exaly +3 more sources
A novel diagnostic technology rapidly detects the presence of infection and defines antimicrobial sensitivities in organisms typical for joint infection [PDF]
Bone & Joint ResearchAims: Infective arthritis is rare, but serious. Timely treatment with appropriate antimicrobial therapy is potentially life- and limb-saving, but our ability to deliver this is limited by current laboratory practices, which confer a delay of several days
Isabelle L. Cochrane +5 more
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Timed saliva sampling as a new reliable marker for assessing iodine intake [PDF]
Radiology and OncologyIodine is an essential component of thyroid hormones. Therefore, sufficient iodine intake is important for adequate thyroid function. Measuring the urinary iodine concentration (UIC) is the recommended method for assessing population iodine intake, but ...
Oblak Adrijana +6 more
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IEEE Access, 2020 Change detection with very high resolution (VHR) satellite images is of great application values when evaluating and monitoring land use changes. However, intrinsic complexity of satellite images will introduce more difficulties to change detection tasks.
Ran Jing, Zhaoning Gong, Hongliang Guan
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