Results 91 to 100 of about 9,095 (206)
This review presents recent advances in intelligent inspection robots for structural health monitoring. It highlights key technologies in sensing, data processing, and fault localization, along with challenges and future directions. The aim is to support practical deployment and promote intelligent, efficient, and autonomous monitoring systems ...
Dongjie Li +6 more
wiley +1 more source
The spectral information of each pixel in hyperspectral images contains valuable information about object properties, although accurate labeling is required in supervised classification to guide the model in distinguishing different land cover types ...
Yiran Wang +6 more
doaj +1 more source
A Goniometric System for Photometric and Polarization Measurements of Planetary Regolith Analogs
Abstract The Planetary Surface Texture Laboratory at the Johns Hopkins University Applied Physics Laboratory is a facility for the study of the photometric and polarization behavior of regolith analogs using an ∼1.5‐m‐radius arc goniometer system. This system characterizes the photometric and polarization response of granular materials (planetary ...
Lizeth O. Magaña +9 more
wiley +1 more source
Text detection in natural image is something to do before performing character recognition. The process of text detection plays an important role in the acquisition of information in an image.
Yohannes Yohannes
doaj +1 more source
In order to make up the shortcomings of some existing ship target detection algorithms for high-resolution synthetic aperture radar (SAR) images, a ship target detection algorithm based on information theory and Harris corner detection for SAR images is ...
Yangyang Deng +4 more
doaj +1 more source
Context-Aware Superpixel and Bilateral Entropy—Image Coherence Induces Less Entropy
Superpixel clustering is one of the most popular computer vision techniques that aggregates coherent pixels into perceptually meaningful groups, taking inspiration from Gestalt grouping rules.
Feihong Liu +3 more
doaj +1 more source
TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications
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 +5 more
doaj +1 more source
Recently, graph clustering has been applied to hyperspectral image (HSI) clustering and proves to be effective on capturing the complex affinity among hyperspectral samples to a certain extent.
Yao Qin +4 more
doaj +1 more source
SuperCoT-X: Masked Hyperspectral Image Modeling With Diverse Superpixel-Level Contrastive Tokenizer
Hyperspectral images (HSI) exhibit complex contextual relationships, including variations in local homogeneous regions and spectral similarities among different classes.
Miaomiao Liang +5 more
doaj +1 more source
Corrosion defect segmentation method based on superpixel feature cascade
To solve the segmentation problem caused by the small number of feature points and the change of image brightness on the surface of the storage tank, a corrosion defect segmentation method based on the superpixel feature cascade is proposed in this paper.
Lingyu Sun +3 more
doaj +1 more source

