Results 101 to 110 of about 986,520 (234)

Geometry-based Superpixel Segmentation - Introduction of Planar Hypothesis for Superpixel Construction

Proceedings of the 10th International Conference on Computer Vision Theory and Applications, 2015
Superpixel segmentation is widely used in the preprocessing step of many applications. Most of existing methods are based on a photometric criterion combined to the position of the pixels. In the same way as the Simple Linear Iterative Clustering (SLIC) method, based on k-means segmentation, a new algorithm is introduced.
Marie-Anne Bauda, Sylvie Chambon, Pierre Gurdjos, Vincent Charvillat   +3 more
openaire   +3 more sources

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
core   +2 more sources

Superpixel Segmentation Based on Grid Point Density Peak Clustering. [PDF]

Sensors (Basel), 2021
Chen X, Peng X, Wang S.
europepmc   +1 more source

Superpixel-Based Graph Convolutional Network for UAV Forest Fire Image Segmentation

Drones
Given the escalating frequency and severity of global forest fires, it is imperative to develop advanced detection and segmentation technologies to mitigate their impact.
Yunjie Mu, Liyuan Ou, Wenjing Chen, Tao Liu, De-Min Gao   +4 more
semanticscholar   +1 more source

A Proposed Security System Using Object Proposals via Superpixel Segmentation [PDF]

, 2022
A simple security system is presented in this paper, which can be implemented through multiple surveillance cameras, to detect trespasses and breaches of security in a wide range of real-world applications, especially on properties without fencing.
Upadhyaya, Vikas
core  

Video object segmentation with shape cue based on spatiotemporal superpixel neighbourhood

IET Computer Vision, 2014
In this study, the authors present a method to extract moving objects in image sequences. The proposed approach is based on a graph cuts algorithm defined on a spatiotemporal superpixel neighbourhood.
Zhiqiang Tian, Nanning Zheng, Jianru Xue, Xuguang Lan, Ce Li, Gang Zhou   +5 more
doaj   +1 more source

Boundary-preserving superpixel segmentation

Journal of Applied Science and Engineering
In recent years, superpixel segmentation has been widely used in image processing tasks as a preprocessing step. Superpixel segmentation aims to group pixels into homogeneous regions while maintaining edges.
Yuejia Lin, Zhao Li, Chenxun Yuan, Yi Liu   +3 more
doaj   +1 more source

Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network

Comput. Methods Programs Biomed.
BACKGROUND AND OBJECTIVE Tendon segmentation is crucial for studying tendon-related pathologies like tendinopathy, tendinosis, etc. This step further enables detailed analysis of specific tendon regions using automated or semi-automated methods.
Zakia Khatun, Halldór Jónsson, Mariella Tsirilaki, N. Maffulli, F. Oliva, Pauline Daval, Francesco Tortorella, Paolo Gargiulo   +7 more
semanticscholar   +1 more source

Improved 3D Fracture Reconstruction Method Based on Superpixel Segmentation and Convolutional Neural Network

Applied Sciences
The morphology and connectivity of subsurface fracture networks are critical factors controlling wellbore stability and hydraulic fracturing efficiency.
Xiuxia Sun, Yongdong Fan, Yan Jin, Yunhu Lu, Botao Lin, Xiao Zhang   +5 more
doaj   +1 more source

Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Superpixel segmentation is an essential step of object-oriented remote sensing image classification; the accuracy of the superpixel segmentation boundary will directly affect the classification result.
Xiaoli Li, Jinsong Chen, Longlong Zhao, Hongzhong Li, Jin Wang, Luyi Sun, Shanxin Guo, Pan Chen, Xuemei Zhao   +8 more
doaj   +1 more source