Results 41 to 50 of about 3,488 (207)

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

Extended set of superpixel features

Компьютерная оптика, 2021
Superpixel-based image processing and analysis methods usually use a small set of superpixel features. Expanding the description of superpixels can improve the quality of processing algorithms. In the paper, a set of 25 basic superpixel features of shape,
A.A. Egorova, V.V. Sergeyev
doaj   +1 more source

Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification †

Remote Sensing, 2017
Recently, superpixel segmentation has been proven to be a powerful tool for hyperspectral image (HSI) classification. Nonetheless, the selection of the optimal superpixel size is a nontrivial task.
Shuzhen Zhang, Shutao Li, Wei Fu, Leiyuan Fang   +3 more
doaj   +1 more source

Superpixel Segmentation Method Based on Foreground–Background Separation and Independent Multicycle Labeling

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Accurate superpixel segmentation of ocean remote sensing data plays a crucial role in the success of monitoring the changes on the ocean surface. Recently, so many superpixel segmentation methods have attracted much attention to ocean remote sensing ...
Qianna Cui, Haiwei Pan, Kejia Zhang
doaj   +1 more source

Improved Fast Generation of Superpixel Algorithms with Deep Network

Jisuanji kexue yu tansuo, 2020
Superpixels are the result of over-segmentation of the image and provide an intermediate representation of the image data. It plays an important role in the research of computer vision and other fields. However, the existing superpixel algorithms are non-
SHENG Jiachuan, WANG Jiayuan, LI Yuzhi, WANG Jun
doaj   +1 more source

A Semantic Segmentation Algorithm Using FCN with Combination of BSLIC

Applied Sciences, 2018
An image semantic segmentation algorithm using fully convolutional network (FCN) integrated with the recently proposed simple linear iterative clustering (SLIC) that is based on boundary term (BSLIC) is developed.
Wei Zhao, Haodi Zhang, Yujin Yan, Yi Fu, Hai Wang   +4 more
doaj   +1 more source

Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms. [PDF]

Wound Repair Regen
ABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
Reifs D, Casanova L, Reig-Bolaño R, Coda A.   +3 more
europepmc   +2 more sources

Semantic Segmentation of High-Resolution Remote Sensing Imagery via an End-to-End Graph Attention Network With Superpixel Embedding

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Semantic segmentation of high-resolution remote sensing images is crucial in ecological evaluation, natural resource surveys, etc. Compared with CNN-based and transformer-based methods, graph neural networks (GNNs) have drawn increasing attention because
Ying Tang, Xiangyun Hu, Tao Ke, Mi Zhang
doaj   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

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, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Superpixel image segmentation.

, 2018
(a) original image. (b) result of superpixel segmentation.
Guan Yang (520726), Meiyun Wang (395124), Haibo Pang (5662226), Zhe Zhao (157204), Yusong Lin (4446244)   +4 more
core   +1 more source