Results 71 to 80 of about 471,167 (221)

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

Learning to Segment Breast Biopsy Whole Slide Images

, 2017
We trained and applied an encoder-decoder model to semantically segment breast biopsy images into biologically meaningful tissue labels. Since conventional encoder-decoder networks cannot be applied directly on large biopsy images and the different sized
Bartlett, Jamen, Elmore, Joann, Mehta, Sachin, Mercan, Ezgi, Shapiro, Linda, Weaver, Donald   +5 more
core   +1 more source

Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science

Modern Agriculture, Volume 3, Issue 2, December 2025.
Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song, Haifeng Liang, Bingjie Lu, Jing Guo, Yuan Gao, Xiao Hu, Manlin Yang, Xiaofan Li, Zhenyu Wang, Yongqi Chen, Yinyin Zhang, Shen Su, Zhangyun Gao, Shijie Li, Ping Chen, Jing Wang, Wanneng Yang, Hui Feng   +17 more
wiley   +1 more source

TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications

Applied Sciences
Superpixel 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, Alejandro Medina Santiago, Jorge Antonio Orozco Torres, J. A. de Jesús Osuna-Coutiño, Madaín Pérez Patricio, Néstor A. Morales-Navarro   +5 more
doaj   +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, ES Gastal, J Domke, JB Tenenbaum, K He, M Kiefel, R Achanta, S Gould, S He, S Nowozin, S Paris, T-Y Lin   +11 more
core   +1 more source

Scattering Feature-Driven Superpixel Segmentation for Polarimetric SAR Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Superpixel segmentation for polarimetric synthetic aperture radar (PolSAR) images plays a fundamental role in various PolSAR applications. Subject to the intrinsic limitations, the existing methods generally produce over or undersegmented superpixels in ...
Sinong Quan, D. Xiang, Wei Wang, Boli Xiong, Gangyao Kuang   +4 more
semanticscholar   +1 more source

Drone‐based polarization imaging system for leaf spot severity determination in peanut plants

The Plant Phenome Journal, Volume 8, Issue 1, December 2025.
Abstract In this study, we introduce a new approach for enhancing peanut phenotyping through a polarization imaging platform. With leaf spot disease posing significant threats to peanut (Arachis hypogae L.) crops, our research addresses the need for accurate and efficient detection methods.
Joshua Larsen, Jeffrey. Dunne, Robert Austin, Cassondra Newman, Michael Kudenov   +4 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

Iterative Instance Segmentation

, 2016
Existing methods for pixel-wise labelling tasks generally disregard the underlying structure of labellings, often leading to predictions that are visually implausible.
Hariharan, Bharath, Li, Ke, Malik, Jitendra   +2 more
core   +1 more source

Relieve the Demand for Labeled Data of Deep Learning Models for Hydraulic Conductivity Field Tasks in Groundwater Through Self‐Supervised Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.
Abstract Deep learning (DL) has shown great potential in solving groundwater problems but often requires large labeled data sets, which are expensive and time‐consuming to obtain. In this study, we introduce a self‐supervised learning approach based on a masked autoencoder (MAE)—an encoder‐decoder architecture that reconstructs randomly masked input ...
Kai Ji, Zhengkun Zhou, Bo Zou, Ruiting Yang, Baoqing Zhang   +4 more
wiley   +1 more source