Results 41 to 50 of about 384,232 (160)

An Interactive Segmentation Method Based on Superpixel [PDF]

, 2015
This paper proposes an interactive image-segmentation method which is based on superpixel. To achieve fast segmentation, the method is used to establish a Graphcut model using superpixels as nodes, and a new energy function is proposed.
Yang Shu, Zhu Yaping, Wu Xiaoyu
core   +2 more sources

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

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

Superpixel-based class-semantic texton occurrences for natural roadside vegetation segmentation

, 2017
Vegetation segmentation from roadside data is a field that has received relatively little attention in present studies, but can be of great potentials in a wide range of real-world applications, such as road safety assessment and vegetation condition ...
Ligang Zhang, Verma, B, Zhang, L, Brijesh Verma (9842312), Brijesh Verma, Ligang Zhang (9847844)   +5 more
core   +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

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

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

Robust Semantic Segmentation with Superpixel-Mix

, 2021
International audienceAlong with predictive performance and runtime speed, robustness is a key requirement for real-world semantic segmentation.Robustness encompasses accuracy, predictive uncertainty, stability under data perturbation and distribution ...
Franchi, Gianni, Bursuc, Andrei, Belkhir, Nacim, Blanz, Volker, Ha, Mai Lan, Yao, Angela, Hu, Yufei   +6 more
core   +2 more sources

Explainable Deep Learning for Imaging‐Based Skin Lesion Diagnosis: A Systematic Literature Review

Concurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.
ABSTRACT In the latest years, the use of Deep Learning (DL) in imaging‐based skin lesion diagnosis has become increasingly prevalent. The deep models have revolutionized the computer‐aided diagnosis systems in terms of performance. However, DL models are often criticized as black boxes due to their complex and opaque internal design of numerous ...
Rym Dakhli, Walid Barhoumi
wiley   +1 more source