Results 71 to 80 of about 9,095 (206)

Local Binary Patterns and Superpixel-Based Multiple Kernels for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The superpixel-based multiple kernels model uses the average value of all pixels within superpixel as the spatial feature, which results in inaccurate extraction of edge pixels. To solve this problem, a local binary patterns and superpixel-based multiple
Wei Huang, Yao Huang, Hua Wang, Yan Liu, Hiuk Jae Shim   +4 more
doaj   +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

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

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

Lung Field Segmentation in Chest X-ray Images Using Superpixel Resizing and Encoder–Decoder Segmentation Networks

Bioengineering, 2022
Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time.
Chien-Cheng Lee, Edmund Cheung So, Lamin Saidy, Min-Ju Wang   +3 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

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

Early smoke detection of forest fires based on SVM image segmentation

Journal of Forest Science, 2019
A smoke detection method is proposed in single-frame video sequence images for forest fire detection in large space and complex scenes. A new superpixel merging algorithm is further studied to improve the existing horizon detection algorithm. This method
Ding Xiong, Lu Yan
doaj   +1 more source

Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

IEEE transactions on fuzzy systems, 2019
A great number of improved fuzzy c-means (FCM) clustering algorithms have been widely used for grayscale and color image segmentation. However, most of them are time-consuming and unable to provide desired segmentation results for color images due to two
Tao Lei, Xiaohong Jia, Yanning Zhang, Shigang Liu, Hongying Meng, A. Nandi   +5 more
semanticscholar   +1 more source