Results 21 to 30 of about 3,740 (194)

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

Habitat Radiomics Predict HPV Status in Oropharyngeal Cancer. [PDF]

open access: yesCancer Med
ABSTRACT Objective This study developed a habitat‐based radiomics classifier from CT images to predict HPV status in oropharyngeal cancer (OPC). Methods We analyzed pretreatment CT scans from 192 OPC patients. Tumor habitats were generated using a two‐level unsupervised clustering approach, and radiomics features were calculated from both intratumoral ...
Altinok O   +4 more
europepmc   +2 more sources

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

Extended SLIC superpixels algorithm for applications to non-imagery geospatial rasters

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2022
Converting an image to a set of superpixels is a useful preprocessing step in many computer vision applications; it reduces the dimensionality of the data and removes noise. The most popular superpixels algorithm is the Simple Linear Iterative Clustering
Jakub Nowosad, Tomasz F. Stepinski
doaj   +1 more source

Image Segmentation of Brain MRI Based on LTriDP and Superpixels of Improved SLIC

open access: yesBrain Sciences, 2020
Non-uniform gray distribution and blurred edges often result in bias during the superpixel segmentation of medical images of magnetic resonance imaging (MRI).
Yu Wang, Qi Qi, Xuanjing Shen
doaj   +1 more source

Stereo Matching with Spatiotemporal Disparity Refinement Using Simple Linear Iterative Clustering Segmentation

open access: yesElectronics, 2021
Stereo matching is a challenging problem, especially for computer vision, e.g., three-dimensional television (3DTV) or 3D visualization. The disparity maps from the video streams must be estimated.
Hui-Yu Huang, Zhe-Hao Liu
semanticscholar   +1 more source

Color Image Segmentation Algorithm Combining SLIC with Improved Affinity Propagation Clustering [PDF]

open access: yesJisuanji gongcheng, 2018
When Adjacent Propagation(AP) clustering algorithm is used to segment color images,the similarity matrix has the problems of large scale,long clustering time,and high space complexity.Therefore,a new color image segmentation algorithm is proposed.A ...
CHENG Xianguo,WANG Mingjun
doaj   +1 more source

Superpixel Segmentation Based Synthetic Classifications with Clear Boundary Information for a Legged Robot

open access: yesSensors, 2018
In view of terrain classification of the autonomous multi-legged walking robots, two synthetic classification methods for terrain classification, Simple Linear Iterative Clustering based Support Vector Machine (SLIC-SVM) and Simple Linear Iterative ...
Yaguang Zhu   +4 more
doaj   +1 more source

A novel histopathological feature of spatial tumor-stroma distribution predicts lung squamous cell carcinoma prognosis. [PDF]

open access: yesCancer Sci
We propose a cutting‐edge framework for assessing cancer tissues, with a special emphasis on the spatial interaction between cancer cells and the stromal environment. This framework provides a novel perspective in gauging malignancy and forecasting patient prognosis in squamous cell carcinoma, traditionally evaluated mainly through pathological staging.
Taki T   +9 more
europepmc   +2 more sources

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

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