Results 31 to 40 of about 49,054 (309)
Automatic texture segmentation for content-based image retrieval application
In this article, a brief review on texture segmentation is presented, before a novel automatic texture segmentation algorithm is developed. The algorithm is based on a modified discrete wavelet frames and the mean shift algorithm.
Fauzi, M.F.A. +3 more
core +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
An Improved Two-Step Strategy for Accurate Feature Extraction in Weak-Texture Environments
To address the challenge of feature extraction and reconstruction in weak-texture environments, and to provide data support for environmental perception in mobile robots operating in such environments, a Feature Extraction and Reconstruction in Weak ...
Qingjia Lv +6 more
doaj +1 more source
The Goertzel Algorithm for the Extraction of Texture Features
The detection of the properties of objects is essential to deal with the manipulation of objects with artificial hands and grippers. In particular, texture detection is a common challenge in robotics. In the quest for smooth and natural manipulation, response times in the order of milliseconds are needed.
Raúl Lora-Rivera +3 more
openaire +3 more sources
The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
In view of traditional point-line feature visual inertial simultaneous localization and mapping (SLAM) system, which has weak performance in accuracy so that it cannot be processed in real time under the condition of weak indoor texture and light and ...
Tong Zhang +4 more
doaj +1 more source
Multilayer deep feature extraction for visual texture recognition
Convolutional neural networks have shown successful results in image classification achieving real-time results superior to the human level. However, texture images still pose some challenge to these models due, for example, to the limited availability of data for training in several problems where these images appear, high inter-class similarity, the ...
Lucas O. Lyra +2 more
openaire +2 more sources
Correlating motif analysis and morphological filters for surface texture analysis [PDF]
In contrast to the mean-line based evaluation system, motif analysis and morphological filters are two techniques oriented to the characterization of functional properties of surfaces.
Lou, Shan +2 more
core +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Research on Clothing Image Retrieval Combining Topology Features with Color Texture Features
Topological data analysis (TDA) is a method of feature extraction based on data topological structure. Image feature extraction using TDA has been shown to be superior to other feature extraction techniques in some problems, so it has recently received ...
Xu Zhang, Huadong Sun, Jian Ma
doaj +1 more source

