Results 41 to 50 of about 127,282 (272)

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

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

High Dimensional Apollonian Networks [PDF]

open access: yes, 2005
We propose a simple algorithm which produces high dimensional Apollonian networks with both small-world and scale-free characteristics. We derive analytical expressions for the degree distribution, the clustering coefficient and the diameter of the ...
Bollt E   +10 more
core   +3 more sources

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

Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach

open access: yesThe Insight Journal, 2018
Superpixel algorithms have proven to be a useful initial step for segmentation and subsequent processing of images, reducing computational complexity by replacing the use of expensive per-pixel primitives with a higher-level abstraction, superpixels. They have been successfully applied both in the context of traditional image analysis and deep learning
Lowekamp, Bradley C.   +3 more
openaire   +2 more sources

jSLIC : superpixels in ImageJ [PDF]

open access: yes, 2014
This paper presents the implementation and particular improvements on the superpixel clustering algorithm - SLIC (Simple Linear Iterative Clustering).
Borovec, Jiří, Kybic, Jan
core  

Factor PD-Clustering

open access: yes, 2012
Factorial clustering methods have been developed in recent years thanks to the improving of computational power. These methods perform a linear transformation of data and a clustering on transformed data optimizing a common criterion.
A. Ben-Israel   +6 more
core   +2 more sources

Cumulative Social Disadvantage and Disease Activity in Juvenile Idiopathic Arthritis: A Childhood Arthritis and Rheumatology Research Alliance Registry Study

open access: yesArthritis Care &Research, EarlyView.
Objective Social determinants of health (SDOH) contribute to juvenile idiopathic arthritis (JIA) disparities, but most studies have assessed SDOH independently rather than cumulatively across individual, family, and neighborhood levels. Using a socioecological framework, we investigated the relationship among cumulative social disadvantage ...
William Daniel Soulsby   +448 more
wiley   +1 more source

Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels

open access: yesJournal of Pathology Informatics, 2018
Background: Advances in image analysis and computational techniques have facilitated automatic detection of critical features in histopathology images.
Sudhir Sornapudi   +8 more
doaj   +1 more source

Accelerating Random Kaczmarz Algorithm Based on Clustering Information

open access: yes, 2015
Kaczmarz algorithm is an efficient iterative algorithm to solve overdetermined consistent system of linear equations. During each updating step, Kaczmarz chooses a hyperplane based on an individual equation and projects the current estimate for the exact
Li, Yujun, Mo, Kaichun, Ye, Haishan
core   +1 more source

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