Results 41 to 50 of about 986,520 (234)

Multiple Superpixel Graphs Learning Based on Adaptive Multiscale Segmentation for Hyperspectral Image Classification

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, Boao Qin, Shou Feng, Wenxiang Zhu   +3 more
doaj   +1 more source

Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation

, 2023
Weakly-supervised semantic segmentation aims to train a semantic segmentation network using weak labels. Among weak labels, image-level label has been the most popular choice due to its simplicity.
Park, Daeyoung, Kim, Sangtae, Shim, Byonghyo   +2 more
core   +1 more source

Image segmentation using superpixel ensembles [PDF]

, 2017
Recently there has been an increasing interest in image segmentation due to the needs of locating objects with high segmentation accuracy as required by many computer vision and image processing tasks.
Gu, Xianbin
core   +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

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

Superpixel-Guided Graph-Attention Boundary GAN for Adaptive Feature Refinement in Scribble-Supervised Medical Image Segmentation

IEEE Access
Fully supervised medical image segmentation still relies on labor-intensive, pixel-level annotations, which limits scale across cohorts and imaging settings.
Mansoor Hayat, S. Aramvith
semanticscholar   +1 more source

Interactive segmentation: a scalable superpixel-based method [PDF]

, 2017
This paper addresses the problem of interactive multiclass segmentation of images. We propose a fast and efficient new interactive segmentation method called superpixel alpha fusion (SaF).
Mathieu, Bérengère, Bérengère Mathieu, Crouzil, Alain, Puel, Jean-Baptiste, Jean-Baptiste Puel, Alain Crouzil   +5 more
core   +1 more source