Results 51 to 60 of about 4,217 (208)
Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images
Applied Sciences, 2022 Prostate brachytherapy is a treatment for prostate cancer; during the planning of the procedure, ultrasound images of the prostate are taken. The prostate must be segmented out in each of the ultrasound images, and to assist with the procedure, an ...
Jay Carriere +3 more
doaj +1 more source
Superpixel-based color transfer [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 In this work, we propose a fast superpixel-based color transfer method (SCT) between two images. Superpixels enable to decrease the image dimension and to extract a reduced set of color candidates. We propose to use a fast approximate nearest neighbor matching algorithm in which we enforce the match diversity by limiting the selection of the same ...
Rémi Giraud +2 more
openaire +3 more sources
Result of SLIC superpixels oversegmentation with different number of superpixels.
, 2016 Result of SLIC superpixels oversegmentation with different number of superpixels.
Lin Yang (45852) +2 more
core +1 more source
Persistence-based resolution-independent meshes of superpixels [PDF]
, 2020 The over-segmentation problem is to split a pixel-based image into a smaller number of superpixels that can be treated as indecompasable regions to speed up higher level image processing such as segmentation or object detection.
Muszynski, G, Kurlin, V
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
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
Near‐Infrared Polarimetric Imaging With Nonlinear Flat‐Optics
Laser &Photonics Reviews, EarlyView.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 +6 more
wiley +1 more source
Transfert de couleurs basé superpixels
, 2017 Groupe d'Études du Traitement du Signal et des Images (GRETSI)National audienceDans ce travail, nous présentons une méthode rapide de transfert de couleurs basé superpixels entre deux images.
Papadakis, Nicolas +2 more
core +3 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
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