Results 61 to 70 of about 6,095 (211)

Near‐Infrared Polarimetric Imaging With Nonlinear Flat‐Optics

Laser &Photonics Reviews, Volume 20, Issue 18, 18 September 2026.
ABSTRACT A compact and broadband polarimetric imaging platform is presented, based on second‐harmonic generation (SHG) in nonlinear flat‐optics. The system employs periodic all‐dielectric AlGaAs gratings to induce polarization‐dependent SH emission, enabling pixel by pixel direct retrieval of the full Stokes vector from an input intensity distribution ...
Evgenii Menshikov, Marco A. López Sánchez, Paolo Franceschini, Andrea Tognazzi, Domenico de Ceglia, Kristina Frizyuk, Costantino De Angelis   +6 more
wiley   +1 more source

Superpixel Optimization Using Higher Order Energy

, 2016
A novel superpixel extraction algorithm using a higher order energy optimization framework is proposed in this paper. We first adopt the k-means clustering technique to quickly get an initial superpixel result.
Li, Xuelong, Shen, Jianbing, Yao, Angela, Peng, Jianteng   +3 more
core   +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

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, Yao Huang, Hua Wang, Yan Liu, Hiuk Jae Shim   +4 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, Paško Roje, Stella Vješnica, Stefan Cikota, Alex J. Brown, Mike Kretlow, Marco Azzaro, Santiago Reinhart, Jesús Aceituno, Harry Dawson, Carsten Denker, Torsten Enßlin, Stephan Geier, Thomas Granzer, Thomas Kupfer, Gianluca Li Causi, Samaya Nissanke, José Luis Ortiz, Fernando Pedichini, Katja Poppenhäger, Axel Schwope   +20 more
wiley   +1 more source

Early smoke detection of forest fires based on SVM image segmentation

Journal of Forest Science, 2019
A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method
Ding Xiong, Lu Yan
doaj   +1 more source

An Open Source Automated Tumor Infiltrating Lymphocytes Algorithm for Prognosis in Primary Small Bowel Adenocarcinoma Using Routine Hematoxylin and Eosin Stained Sections

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, Xin Liu, Yuanlong Luo, Ayizimugu Abuduwaili, Qi Song, Rongkui Luo, Wen Huang, Lei Xu, Xiaolei Zhang, Lin Sun, Jieakesu Su, Chen Xu, Yingyong Hou   +12 more
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.
openaire   +1 more source

A Bilevel Contextual MRF Model for Supervised Classification of High Spatial Resolution Remote Sensing Images

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, Jianyu Chen, Liang Xiao, Delu Pan   +3 more
doaj   +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