Results 231 to 240 of about 331,652 (276)
Some of the next articles are maybe not open access.
Fabric defect detection based on multi-source feature fusion
International Journal of Clothing Science and Technology, 2021PurposeThis paper aims to propose a new method to solve the two problems in fabric defect detection. Current state-of-the-art industrial products defect detectors are deep learning-based, which incurs some additional problems: (1) The model is difficult to train due to too few fabric datasets for the difficulty of collecting pictures; (2) The detection
Zhoufeng Liu +3 more
openaire +1 more source
Fabric Defects Detection based on Multi-Sources Features Fusion
Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition, 2019For fabric object inspection, the traditional approaches (e.g., Low rank approximation and sparse representation) have achieved the excellent accuracy in some certain texture fabric, whereas some methods based on convolutional neural network have the advantage of higher efficiency and prime accuracy with various texture fabric.
Zhoufeng Liu +4 more
openaire +1 more source
Correction: Multi-source deep feature fusion for medical image analysis
Multidimensional Systems and Signal ProcessingzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gürsoy, Ercan, Kaya, Yasin
openaire +1 more source
Illumination-based adaptive saliency detection network through fusion of multi-source features
Journal of Visual Communication and Image Representation, 2021Abstract Salient object detection (SOD) tasks aim to outline the most concerned part of human vision, which is widely used in computer vision fields. Due to possibility of the insufficient illumination in the application environment (such as night or dim indoor environment), RGB images from visible channels usually lose most of their performance ...
Chunxu Jiang +4 more
openaire +1 more source
Validate and update of 3D urban features using multi-source fusion
SPIE Proceedings, 2012As forecast by the United Nations in May 2007, the population of the world transitioned from a rural to an urban demographic majority with more than half living in urban areas.1 Modern urban environments are complex 3- dimensional (3D) landscapes with 4-dimensional patterns of activity that challenge various traditional 1-dimensional and 2 ...
Marcus Arrington +2 more
openaire +1 more source
Multi-source deep feature fusion for medical image analysis
Multidimensional Systems and Signal ProcessingzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gürsoy, Ercan, Kaya, Yasin
openaire +1 more source
Data fusion of multi-source imagery based on linear features registration
International Journal of Remote Sensing, 2010Image fusion is the process of combining images captured by different sensors under different conditions. These images usually have different geometric and radiometric properties. The enormous increase in the volume of remotely sensed data has created the need for robust data processing techniques that can fuse data observed by different acquisition ...
openaire +1 more source
Object-oriented change detection for multi-source images using multi-feature fusion
2016 Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR), 2016With the development of remote sensing technology, the source of data is getting more abundant and the resolution is becoming higher. Consequently, conventional change detection method can't meet the application requirements any more. In this paper, an object-oriented change detection method for multisource remote sensing images using multi-feature ...
Baoming Zhang +4 more
openaire +1 more source
Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion
Journal of ForecastingABSTRACTThe prediction and early warning of soybean futures prices have been even more crucial for the formulation of food‐related policies and trade risk management. Amid increasing geopolitical conflicts and uncertainty in trade policies across countries in recent years, there have been significant fluctuations in global soybean futures prices ...
Binrong Wu, Sihao Yu, Sheng‐Xiang Lv
openaire +1 more source
Electromagnetic valve fault diagnosis based on multi-source signal feature fusion
Measurement Science and TechnologyAbstract This paper proposes a new electromagnetic valve fault diagnosis method, which can effectively expand the number of diagnosable fault types for electromagnetic valves and achieve high fault diagnosis accuracy. First, dynamic, sealing, and flow data are collected according to the different working states of the solenoid valve ...
Weiting Li +4 more
openaire +1 more source