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   Articles with "superpixel segmentation" as a keyword



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Image superpixel segmentation based on hierarchical multi-level LI-SLIC

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recommendations! Published in 2021 at "Optics and Laser Technology"

DOI: 10.1016/j.optlastec.2020.106703

Abstract: Abstract In computer vision, superpixel segmentation has been widely used as a very important preprocessing to reduce the number of image primitives for subsequent image processing tasks. To improve the segmentation accuracy and the robustness… read more here.

Keywords: hierarchical multi; image; segmentation; multi level ... See more keywords
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Superpixel segmentation for hyperspectral images based on false colour composition with colour histogram driving

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recommendations! Published in 2019 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2018.1513181

Abstract: Hyperspectral images (HSIs) segmentation has gradually become an important basis for HSIs processing, such as the classification and unmixing. In this paper, we proposed a superpixel segmentation a... read more here.

Keywords: segmentation hyperspectral; images based; colour; segmentation ... See more keywords

Fast Two-Cycle Level Set Tracking With Interactive Superpixel Segmentation and Its Application in Image Retrieval

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recommendations! Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2950968

Abstract: In this paper, a fast two-cycle level set contour tracking algorithm based on interactive superpixel segmentation is proposed. Then, image retrieval is carried out based on the contour tracking results. The method of contour tracking… read more here.

Keywords: two cycle; fast two; superpixel segmentation; image ... See more keywords

Superpixel Segmentation Based on Anisotropic Diffusion Model for Object-Oriented Remote Sensing Image Classification

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3324770

Abstract: Superpixel segmentation is an essential step of object-oriented remote sensing image classification; the accuracy of the superpixel segmentation boundary will directly affect the classification result. Most of the traditional superpixel segmentation algorithms rely on spectral… read more here.

Keywords: segmentation; image classification; diffusion; superpixel segmentation ... See more keywords

Superpixel Segmentation Method Based on Foreground-background Separation and Independent Multicycle Labeling

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recommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2025.3634797

Abstract: Accurate superpixel segmentation of ocean remote sensing data plays a crucial role in the success of monitoring the changes on the ocean surface. Recently, so many superpixel segmentation methods have attracted much attention to ocean… read more here.

Keywords: segmentation; foreground background; background separation; remote sensing ... See more keywords

Adaptive Nonlocal Random Walks for Image Superpixel Segmentation

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recommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2019.2896438

Abstract: In this paper, we propose a novel superpixel segmentation method using an adaptive nonlocal random walk (ANRW) algorithm. There are three main steps in our image superpixel segmentation algorithm. Our method is based on the… read more here.

Keywords: adaptive nonlocal; superpixel segmentation; nonlocal random; image superpixel ... See more keywords

Blind Image Deblurring via Superpixel Segmentation Prior

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recommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3074799

Abstract: We present an effective blind image deblurring algorithm based on superpixel segmentation prior (SSP). The motivation of this work is an interesting observation that the more rough the segmentation boundaries are, the clearer the image… read more here.

Keywords: segmentation prior; superpixel segmentation; image deblurring; segmentation ... See more keywords

Weak-Boundary Sensitive Superpixel Segmentation Based on Local Adaptive Distance

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recommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3221925

Abstract: Superpixel segmentation provides a way to capture object boundaries unsupervised and has benefited many compute vision applications. However, under-segmentation for weak boundaries and poor compatibility with image feature representations often limit its wide application. In… read more here.

Keywords: superpixel segmentation; feature; boundary sensitive; segmentation ... See more keywords

Variational Fuzzy Superpixel Segmentation

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recommendations! Published in 2022 at "IEEE Transactions on Fuzzy Systems"

DOI: 10.1109/tfuzz.2020.3029939

Abstract: This article presents a novel variational model based on fuzzy clustering and total variation regularization for superpixel segmentation. Compared with the classical hard-labeled methodologies, our approach gives soft results via the fuzzy membership function, and… read more here.

Keywords: superpixel segmentation; superpixel; variational fuzzy; fuzzy superpixel ... See more keywords

SLIC Superpixel Segmentation for Polarimetric SAR Images

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recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3047126

Abstract: Superpixel segmentation approaches for polarimetric synthetic aperture radar (SAR) images have only been studied in recent years. Simple linear iterative clustering (SLIC) is a simple and efficient superpixel segmentation method, first proposed for optical images.… read more here.

Keywords: polarimetric sar; superpixel segmentation; method; segmentation ... See more keywords

Superpixel Segmentation Based on Spatially Constrained Subspace Clustering

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recommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2020.3044068

Abstract: Superpixel segmentation aims at dividing the input image into some representative regions containing pixels with similar and consistent intrinsic properties, without any prior knowledge about the shape and size of each superpixel. In this article,… read more here.

Keywords: constrained subspace; superpixel segmentation; segmentation; subspace clustering ... See more keywords