TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications
Applied SciencesSuperpixel segmentation aims to produce a consistent grouping of pixels. In recent years, the importance of superpixel segmentation has increased in computer vision since it offers useful primitives for extracting image features and simplifies the ...
Abiel Aguilar-González +5 more
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Automatic Image Segmentation With Superpixels and Image-Level Labels
IEEE Access, 2019 Automatically and ideally segmenting the semantic region of each object in an image will greatly improve the precision and efficiency of subsequent image processing.
Xinlin Xie +4 more
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Optimal segmentation and improved abundance estimation for superpixel-based Hyperspectral Unmixing
European Journal of Remote Sensing, 2022 Superpixel-based hyperspectral unmixing (HU) can effectively reduce spectral variability’s influence on unmixing performance. In the superpixel-based HU method, this study proposes a segmentation scale determination method to improve the accuracy of ...
Qiang Guan +4 more
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Robust Active Contour Model for Image Segmentation Using a Probability Density Function Approach
IET Image Processing, Volume 20, Issue 1, January/December 2026.This paper proposes an active contour model‐based image segmentation algorithm using the probability density function. Initially, the probability density function is defined by the local mean and variance. Next, a length penalty term and a distance regularization term are incorporated.
XinChao Meng, Si Si, Pei Zhang
wiley +1 more source
Superpixel Convolutional Networks using Bilateral Inceptions
, 2016 In this paper we propose a CNN architecture for semantic image segmentation. We introduce a new 'bilateral inception' module that can be inserted in existing CNN architectures and performs bilateral filtering, at multiple feature-scales, between ...
A Adams +11 more
core +1 more source
Adaptive superpixel segmentation of SAR images using an adaptive adjustment strategy for seeds [PDF]
, 2023 Teng Zhao +5 more
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SUPERPIXEL SEGMENTATION FOR POLSAR IMAGES WITH LOCAL ITERATIVE CLUSTERING AND HETEROGENEOUS STATISTICAL MODEL [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Superpixel segmentation has an advantage that can well preserve the target shape and details. In this research, an adaptive polarimetric SLIC (Pol-ASLIC) superpixel segmentation method is proposed.
D. Xiang +5 more
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A Survey on Superpixel Segmentation as a Preprocessing Step in Hyperspectral Image Analysis
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Recent developments in hyperspectral sensors have made it possible to acquire hyperspectral images (HSI) with higher spectral and spatial resolution. Hence, it is now possible to extract detailed information about relatively smaller structures.
Subhashree Subudhi +3 more
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BiofilmQuant: A Computer-Assisted Tool for Dental Biofilm Quantification
, 2014 Dental biofilm is the deposition of microbial material over a tooth substratum. Several methods have recently been reported in the literature for biofilm quantification; however, at best they provide a barely automated solution requiring significant ...
Mansoor, Awais +4 more
core +1 more source
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs [PDF]
, 2013 We address the problem of segmenting an image into a previously unknown number of segments from the perspective of graph partitioning. Specifically, we consider minimum multicuts of superpixel affinity graphs in which all affinities between non-adjacent superpixels are negative.
Andres, B. +6 more
openaire +2 more sources