Results 51 to 60 of about 384,232 (160)

Multiscale superpixel depth feature extraction for hyperspectral image classification

Scientific Reports
Recently, superpixel segmentation has been widely employed in hyperspectral image (HSI) classification of remote sensing. However, the structures of land-covers in HSI commonly vary greatly, which makes it difficult to fully fit the boundaries of land ...
Qi Yan, Shuzhen Zhang, Xiang Chen, Ziyou Zheng   +3 more
doaj   +1 more source

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, Ram Narayan Patro, Pradyut Kumar Biswal, Fabio Dell'Acqua   +3 more
doaj   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

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, Gang Xie, Xinying Xu, Lei Cui, Jinchang Ren   +4 more
doaj   +1 more source

Enhanced Atrous Extractor and Self-Dynamic Gate Network for Superpixel Segmentation

Applied Sciences, 2023
A superpixel is a group of pixels with similar low-level and mid-level properties, which can be seen as a basic unit in the pre-processing of remote sensing images. Therefore, superpixel segmentation can reduce the computation cost largely.
Bing Liu, Zhaohao Zhong, Tongye Hu, Hongwei Zhao   +3 more
doaj   +1 more source

Video‐Based Rainfall Opportunistic Sensing in Hydrology: A Lightweight Machine Learning Approach

Water Resources Research, Volume 62, Issue 7, July 2026.
Abstract Video‐based rainfall measurement is a frontier topic in opportunistic sensing; however, rapid, accurate, and robust identification of rainfall‐related rain‐streak features from dynamic videos remains a key challenge, especially for monitoring devices with limited computational resources.
Yongcheng Jin, Zhe Zhu, Xinwei Xue, Guangtao Fu, Chi Zhang, Yu Li   +5 more
wiley   +1 more source

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, W. Ni, H. Zhang, J. Wu, W. Yan, Y. Su   +5 more
doaj   +1 more source

A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes

The Journal of Physiology, Volume 604, Issue 13, Page 5561-5584, 1 July 2026.
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner, Fabio Frangiamore, Frédéric Sonak, Josef Madl, Thomas Seidel, Peter Kohl, Eva A. Rog‐Zielinska   +6 more
wiley   +1 more source

Texture-Aware Superpixel Segmentation

, 2019
International audienceMost superpixel algorithms compute a trade-off between spatial and color features at the pixel level. Hence, they may need fine parameter tuning to balance the two measures, and highly fail to group pixels with similar local texture
Berthoumieu, Yannick, Papadakis, Nicolas, Giraud, Rémi, Ta, Vinh-Thong   +3 more
core   +2 more sources

Content-Sensitive Superpixel Generation with Boundary Adjustment

Applied Sciences, 2020
Superpixel segmentation has become a crucial tool in many image processing and computer vision applications. In this paper, a novel content-sensitive superpixel generation algorithm with boundary adjustment is proposed. First, the image local entropy was
Dong Zhang, Gang Xie, Jinchang Ren, Zhe Zhang, Wenliang Bao, Xinying Xu   +5 more
doaj   +1 more source