Results 31 to 40 of about 34,853 (246)

GrabCut Algorithm Based on SLIC for Pose Search Space Reduction [PDF]

open access: yesJisuanji gongcheng, 2016
In order to solve the problem of extremely large size of pose search space due to body parts’ high degree of freedom during pose estimation,a pose search space reducing algorithm of GrabCut based on Simple Linear Iterative Clustering (SLIC) superpixel ...
ZHU Jueyu,YUAN Zihua,LI Feng,ZHOU Shuren
doaj   +1 more source

Monitoring early-successional trees for tropical forest restoration using low-cost UAV-based species classification

open access: yesFrontiers in Forests and Global Change, 2022
Logged forests cover four million square kilometers of the tropics, capturing carbon more rapidly than temperate forests and harboring rich biodiversity. Restoring these forests is essential to help avoid the worst impacts of climate change.
Jonathan Williams   +11 more
doaj   +1 more source

Unsupervised Classification for Polarimetric Synthetic Aperture Radar Images Based on Wishart Mixture Models

open access: yesLeida xuebao, 2017
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, determining the number of clusters in this process is still a challenging problem. To this end, we propose
Zhong Neng   +3 more
doaj   +1 more source

Automatic Smoke Detection Based on SLIC-DBSCAN Enhanced Convolutional Neural Network

open access: yesIEEE Access, 2021
Video flame and smoke-based fire detection usually exhibit large variations in the feature of color, texture, shapes, etc., caused by the complex environment.
Dali Sheng, Jinlian Deng, Jiawei Xiang
doaj   +1 more source

A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image

open access: yesSensors, 2021
The star tracker is widely used for high-accuracy missions due to its high accuracy position high autonomy and low power consumption. On the other hand, the ability of interference suppression of the star tracker has always been a hot issue of concern. A
Chenguang Shi   +4 more
doaj   +1 more source

A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution

open access: yesSensors, 2016
The simple linear iterative clustering (SLIC) method is a recently proposed popular superpixel algorithm. However, this method may generate bad superpixels for synthetic aperture radar (SAR) images due to effects of speckle and the large dynamic range of
Huanxin Zou   +3 more
doaj   +1 more source

Performance evaluation of simple linear iterative clustering algorithm on medical image processing

open access: yesBio-Medical Materials and Engineering, 2014
Simple Linear Iterative Clustering (SLIC) algorithm is increasingly applied to different kinds of image processing because of its excellent perceptually meaningful characteristics. In order to better meet the needs of medical image processing and provide technical reference for SLIC on the application of medical image segmentation, two indicators of ...
Jinyu, Cong   +4 more
openaire   +3 more sources

Quadratic Clustering-Based Simplex Volume Maximization for Hyperspectral Endmember Extraction

open access: yesApplied Sciences, 2022
The existence of intra-class spectral variability caused by differential scene components and illumination conditions limits the improvement of endmember extraction accuracy, as most endmember extraction algorithms directly find pixels in the ...
Xiangyue Zhang, Yueming Wang, Tianru Xue
doaj   +1 more source

Superpixel cosegmentation algorithm for synthetic aperture radar image change detection

open access: yesThe Journal of Engineering, 2019
Image segmentation has gained increasing popularity and has been widely applied in various image processing tasks recently. A simple linear iterative clustering (SLIC) superpixel generating algorithm for optical images based on k-means clustering ...
Ningyuan Shao   +5 more
doaj   +1 more source

SLIC Superpixel-Based l2,1-Norm Robust Principal Component Analysis for Hyperspectral Image Classification

open access: yesSensors, 2019
Hyperspectral Images (HSIs) contain enriched information due to the presence of various bands, which have gained attention for the past few decades. However, explosive growth in HSIs’ scale and dimensions causes “Curse of dimensionality„
Baokai Zu   +6 more
doaj   +1 more source

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