Results 51 to 60 of about 4,342 (209)
Exploiting Superpixels for Multi-Focus Image Fusion
, 2021 Multi-focus image fusion is the process of combining focused regions of two or more images to obtain a single all-in-focus image. It is an important research area because a fused image is of high quality and contains more details than the source images ...
Marcin Grzegorzek +3 more
core +1 more source
Remote Sensing, 2022 The discrepancies in existing land cover data are relatively high, indicating low local precision and application limitations. Multisource data fusion is an effective way to solve this problem; however, the fusion procedure often requires resampling to ...
Qi Jin, Erqi Xu, Xuqing Zhang
doaj +1 more source
Snapshot Spatiotemporal‐Spectral Imaging Enabled by Joint Photonic Encoding
Advanced Science, EarlyView.Spectra4D enables snapshot spatiotemporal‐spectral imaging by combining high‐speed DMD temporal modulation with CMOS‐integrated Fabry‐Pérot spectral encoding. From a single 2D measurement, a dual‐mask‐guided reconstruction network recovers multiple time‐resolved hyperspectral frames, enabling high‐fidelity observation of rapidly evolving spatial ...
Chunyu Chen +11 more
wiley +1 more source
Artificial Intelligence in Dermatology: Current Applications and Future Directions
JEADV Clinical Practice, EarlyView.This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde +1 more
wiley +1 more source
Generating High-quality Superpixels in Textured Images [PDF]
, 2020 Superpixel segmentation is important for promoting various image processing tasks. However, existing methods still have difficulties in generating high-quality superpixels in textured images, because they cannot separate textures from structures well ...
Xu, P. +11 more
core +2 more sources
Remote Sensing in Ecology and Conservation, EarlyView.High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin +2 more
wiley +1 more source
An Improved Image Semantic Segmentation Method Based on Superpixels and Conditional Random Fields
Applied Sciences, 2018 This paper proposed an improved image semantic segmentation method based on superpixels and conditional random fields (CRFs). The proposed method can take full advantage of the superpixel edge information and the constraint relationship among different ...
Wei Zhao, Yi Fu, Xiaosong Wei, Hai Wang
doaj +1 more source
Superpixel Sampling Networks [PDF]
, 2018 Superpixels provide an efficient low/mid-level representation of image data, which greatly reduces the number of image primitives for subsequent vision tasks. Existing superpixel algorithms are not differentiable, making them difficult to integrate into otherwise end-to-end trainable deep neural networks.
Varun Jampani +4 more
openaire +3 more sources
Integration of Refractive Microlenses on BP/MoS2 Photodiodes for Enhanced Infrared Photodetection
Small, EarlyView.This study demonstrates the successful integration of black phosphorus/molybdenum disulfide infrared photodetectors with refractive microlenses to significantly enhance detection. The design achieves a 20‐fold photocurrent enhancement, enabling a room‐temperature detectivity of 1.83 × 109 cmHz1/2W−1, and demonstrates high‐resolution (1023 × 768) single‐
Varsha Ashwin Vedaraj +11 more
wiley +1 more source
Quantitative Metrics for Edge Bundling of Network Visualizations
Computer Graphics Forum, EarlyView.Abstract Edge bundling is widely used for reducing visual clutter in large 2D network and trajectory visualizations. Various edge bundling methods have been proposed, each producing qualitatively distinct outputs for the same data; however, few quantitative metrics exist for systematic evaluation. In this paper, we propose a set of quantitative metrics
M. Wallinger +3 more
wiley +1 more source