Results 51 to 60 of about 1,822 (166)

Efficient Color Quantization Using Superpixels

Sensors, 2022
We propose three methods for the color quantization of superpixel images. Prior to the application of each method, the target image is first segmented into a finite number of superpixels by grouping the pixels that are similar in color. The color of a superpixel is given by the arithmetic mean of the colors of all constituent pixels.
Mariusz Frackiewicz, Henryk Palus
openaire   +3 more sources

Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms

Wound Repair and Regeneration, Volume 34, Issue 1, January/February 2026.
ABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
David Reifs, Lorena Casanova, Ramon Reig‐Bolaño, Andrea Coda   +3 more
wiley   +1 more source

Automatic inventory of retaining walls from aerial lidar data using 3D deep learning

Civil Engineering Design, Volume 7, Issue 4, Page 178-189, December 2025.
Abstract Infrastructure management along highways and railways requires inventories of critical structures like retaining walls, which traditionally rely on manual inspection and documentation. Unfortunately, data in infrastructure databases is often incomplete.
Ivo Gasparini, Souhir Ben Souissi, Dirk Proske   +2 more
wiley   +1 more source

A Custom Deep Learning Model With Explainable Artificial Intelligence for Interpretable Brain Tumor Classification

Engineering Reports, Volume 7, Issue 12, December 2025.
A custom deep learning model with explainable artificial intelligence for interpretable brain tumor classification. ABSTRACT Brain tumors are critical neurological disorders affecting mankind. The Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans play an important role in diagnosing brain tumors, but need an expert interpretation ...
Duppala Rohan, Boddepalli Yaswanth, V. S. Sai Vardhan, G. Pradeep Reddy, K. Purna Prakash, Y. V. Pavan Kumar   +5 more
wiley   +1 more source

Hyperspectral Band Selection for Lithologic Discrimination and Geological Mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Classification techniques applied to hyperspectral images are very useful for lithologic discrimination and geological mapping. Classifiers are often applied either to all spectral channels or only to absorption spectral channels.
Yulei Tan, Laijun Lu, Lorenzo Bruzzone, Renchu Guan, Zhiyong Chang, Chen Yang   +5 more
doaj   +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

Robust Double Spatial Regularization Sparse Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
With the help of endmember spectral library, sparse unmixing techniques have been successfully applied to hyperspectral image interpretation. The inclusion of spatial information in the sparse unmixing significantly improves the resulting fractional ...
Fan Li, Shaoquan Zhang, Chengzhi Deng, Bingkun Liang, Jingjing Cao, Shengqian Wang   +5 more
doaj   +1 more source

Correction to: Rooted Spanning Superpixels [PDF]

International Journal of Computer Vision, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +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

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks

Remote Sensing, 2019
Deep learning architectures have received much attention in recent years demonstrating state-of-the-art performance in several segmentation, classification and other computer vision tasks.
Maria Papadomanolaki, Maria Vakalopoulou, Konstantinos Karantzalos   +2 more
doaj   +1 more source