Results 61 to 70 of about 986,520 (234)

Improved Spatial-Spectral Superpixel Hyperspectral Unmixing

Remote Sensing, 2019
In this paper, an unsupervised unmixing approach based on superpixel representation combined with regional partitioning is presented. A reduced-size image representation is obtained using superpixel segmentation where each superpixel is represented by ...
Mohammed Q. Alkhatib, Miguel Velez-Reyes   +1 more
doaj   +1 more source

Superpixel Boundary-Based Edge Description Algorithm for SAR Image Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Although various methods can effectively segment synthetic aperture radar (SAR) images, we found that the method combining superpixel and image edge information can get better results. To solve the problem that common SAR image segmentation methods often
Ronghua Shang, Junkai Lin, Licheng Jiao, Xiaohui Yang, Yangyang Li   +4 more
doaj   +1 more source

Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning

Advanced Science, Volume 13, Issue 56, 9 October 2026.
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
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

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, Tongyu Xu, Shuai Feng, Fenghua Yu, Kai Song   +4 more
doaj   +1 more source

AI‐Enhanced System for Diabetic Foot Ulcer Localization and Classification Using Multi‐Scale Neural CNN Model

Health Science Reports, Volume 9, Issue 9, September 2026.
ABSTRACT Background and Aims Diabetic foot ulcers (DFUs), which heal slowly because of inadequate blood supply, are among the serious infections and chronic foot problems that can result from diabetes mellitus (DM). The primary consequence of DFU, which can result in amputation if left untreated.
Md. Nur‐A‐Alam, Md. Anwar Hussen Wadud, Mostofa Kamal Nasir, Khandaker Mohammad Mohi Uddin   +3 more
wiley   +1 more source

Content-driven superpixels and their applications

, 2013
This thesis develops a new superpixel algorithm that displays excellent visual reconstruction of the original image. It achieves high stability across multiple random initialisations, achieved by producing superpixels directly corresponding to local ...
Lowe, Richard
core   +1 more source

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

An Open Source Automated Tumor Infiltrating Lymphocytes Algorithm for Prognosis in Primary Small Bowel Adenocarcinoma Using Routine Hematoxylin and Eosin Stained Sections

Cancer Medicine, Volume 15, Issue 8, August 2026.
ABSTRACT Objective While tumor‐infiltrating lymphocytes (TILs) are prognostic in various cancers, their role in small bowel adenocarcinoma (SBA) is unexplored. This study evaluates the prognostic significance of digitally quantified TILs in SBA. Methods Using digital pathology (QuPath) on hematoxylin and eosin (H&E)‐stained slides from 62 SBA cases, we
Minying Deng, Xin Liu, Yuanlong Luo, Ayizimugu Abuduwaili, Qi Song, Rongkui Luo, Wen Huang, Lei Xu, Xiaolei Zhang, Lin Sun, Jieakesu Su, Chen Xu, Yingyong Hou   +12 more
wiley   +1 more source

A Novel GA-Based Optimized Approach for Regional Multimodal Medical Image Fusion With Superpixel Segmentation

IEEE Access, 2021
For multimodal medical image fusion problems, most of the existing fusion approaches are based on pixel-level. However, the pixel-based fusion method tends to lose local and spatial information as the relationships between pixels are not considered ...
Jun-Wei Duan, Shu-Qi Mao, Jun-Wei Jin, Zhiguo Zhou, Long Chen, C. L. Philip Chen   +5 more
semanticscholar   +1 more source