Results 41 to 50 of about 6,095 (211)
Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC
Brain Sciences, 2020 Non-uniform gray distribution and blurred edges often result in bias during the superpixel segmentation of medical images of magnetic resonance imaging (MRI).
Yu Wang, Qi Qi, Xuanjing Shen
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Superpixels: An evaluation of the state-of-the-art [PDF]
Computer Vision and Image Understanding, 2018 Superpixels group perceptually similar pixels to create visually meaningful entities while heavily reducing the number of primitives for subsequent processing steps. As of these properties, superpixel algorithms have received much attention since their naming in 2003. By today, publicly available superpixel algorithms have turned into standard tools in
David Stutz +2 more
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Salient Object Segmentation Based on Superpixel and Background Connectivity Prior
IEEE Access, 2018 Salient object segmentation is well known for detecting and segmenting objects using saliency map as input. In this paper, we propose a salient object segmentation method which integrates saliency, superpixel, and background connectivity prior.
Yuzhen Niu, Chaoran Su, Wenzhong Guo
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Remote Sensing, 2022 Hyperspectral image classification (HSIC) methods usually require more training samples for better classification performance. However, a large number of labeled samples are difficult to obtain because it is cost- and time-consuming to label an HSI in a ...
Chunhui Zhao +3 more
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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
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Superpixel-Based Unsupervised Hyperspectral Unmixing [PDF]
, 2018 Recently, superpixel-based approaches have been proposed for hyperspectral unmixing. The basic assumption of this approach is that the superpixel over-segmentation segments the image into small homogeneous areas.
Yi, Jiarui
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Updated Homogeneity Criteria Based Low-Dimensional Representation for Hyperspectral Unmixing
IEEE AccessSuperpixel-based approaches have been proposed for hyperspectral unmixing. The basic assumption of this approach is that the superpixel over-segmentation segments the image into small homogeneous areas.
Jiarui Yi, Huiyi Gao
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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
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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
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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
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