Results 71 to 80 of about 6,422 (208)
Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The superpixel-based multiple kernels model uses the average value of all pixels within superpixel as the spatial feature, which results in inaccurate extraction of edge pixels. To solve this problem, a local binary patterns and superpixel-based multiple
Wei Huang +4 more
doaj +1 more source
Model‐Agnostic Influential Outlier Metric
Stat, Volume 15, Issue 3, September 2026.ABSTRACT The influential outlier metric (IOM) provides model‐agnostic influential outlier detection. We define influence of an observation using a combination of SHapley Additive exPlanation (SHAP) values and the residual. Both are transformed using normalizing flows, changing their respective measures to Gaussian distributions.
Colin C. Jones, David A. Campbell
wiley +1 more source
Correction to: Rooted Spanning Superpixels [PDF]
International Journal of Computer Vision, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019 Markov random field (MRF) based methods have been widely used in high spatial resolution (HSR) image classification. However, many existing MRF-based methods put more emphasis on pixel level contexts while less on superpixel level contextual information.
Yu Shen +3 more
doaj +1 more source
The ORCA‐TWIN qCMOS Experiment I. Science Case and Commissioning at Calar Alto Observatory
Astronomische Nachrichten, Volume 347, Issue 7, August 2026.ABSTRACT We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. The experiment involves direct imaging with novel qCMOS image sensor technology that combines fast readout with sub‐electron readout noise.
Martin M. Roth +20 more
wiley +1 more source
Cancer Medicine, Volume 15, Issue 8, August 2026.ABSTRACT Objective While tumor‐infiltrating lymphocytes (TILs) are prognostic in various cancers, their role in small bowel adenocarcinoma (SBA) is unexplored. This study evaluates the prognostic significance of digitally quantified TILs in SBA. Methods Using digital pathology (QuPath) on hematoxylin and eosin (H&E)‐stained slides from 62 SBA cases, we
Minying Deng +12 more
wiley +1 more source
Content-driven superpixels and their applications
, 2013 This thesis develops a new superpixel algorithm that displays excellent visual reconstruction of the original image. It achieves high stability across multiple random initialisations, achieved by producing superpixels directly corresponding to local ...
Lowe, Richard
core +1 more source
Explainable Deep Learning for Imaging‐Based Skin Lesion Diagnosis: A Systematic Literature Review
Concurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.ABSTRACT In the latest years, the use of Deep Learning (DL) in imaging‐based skin lesion diagnosis has become increasingly prevalent. The deep models have revolutionized the computer‐aided diagnosis systems in terms of performance. However, DL models are often criticized as black boxes due to their complex and opaque internal design of numerous ...
Rym Dakhli, Walid Barhoumi
wiley +1 more source
Superpixels Optimized by Color and Shape [PDF]
, 2018 Image over-segmentation is formalized as the approximation problem when a large image is segmented into a small number of connected superpixels with best fitting colors. The approximation quality is measured by the energy whose main term is the sum of squared color deviations over all pixels and a regularizer encourages round shapes.
Vitaliy Kurlin, Donald Harvey
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