Results 11 to 20 of about 682 (137)
A Likelihood-Based SLIC Superpixel Algorithm for SAR Images Using Generalized Gamma Distribution
Sensors, 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 +3 more sources
IEEE Access, 2017 In order to solve the segmentation degradation phenomenon when the number of super pixels is low, we propose a novel color image segmentation algorithm based on GrabCut.
Dayong Ren +3 more
doaj +3 more sources
FLIC: Fast linear iterative clustering with active search
Computational Visual Media, 2018 In this paper, we reconsider the clustering problem for image over-segmentation from a new perspective. We propose a novel search algorithm called “active search” which explicitly considers neighbor continuity.
Jiaxing Zhao +4 more
doaj +3 more sources
Remote Sensing, 2019 Automatic building extraction using a single data type, either 2D remotely-sensed images or light detection and ranging 3D point clouds, remains insufficient to accurately delineate building outlines for automatic mapping, despite active research in this
Haiqing He +5 more
doaj +3 more sources
A SLIC-DBSCAN Based Algorithm for Extracting Effective Sky Region from a Single Star Image
Sensors, 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
Automatic Smoke Detection Based on SLIC-DBSCAN Enhanced Convolutional Neural Network
IEEE 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
Generalizing the Simple Linear Iterative Clustering (SLIC) superpixels
, 2021 GIScience 2021 Short Paper Proceedings. 11th International Conference on Geographic Information Science. September 27-30, 2021. Poznań, Poland (Online).
Nowosad, Jakub, Stepinski, Tomasz
openaire +3 more sources
GrabCut Algorithm Based on SLIC for Pose Search Space Reduction [PDF]
Jisuanji 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
International 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
Brain 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