24   Artículos

 
en línea
Shancheng Tang, Ying Zhang, Zicheng Jin, Jianhui Lu, Heng Li and Jiqing Yang    
The number of defect samples on the surface of aluminum profiles is small, and the distribution of abnormal visual features is dispersed, such that the existing supervised detection methods cannot effectively detect undefined defects. At the same time, t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Juan Chen, Zhencai Zhu, Haiying Hu, Lin Qiu, Zhenzhen Zheng and Lei Dong    
Infrared (IR) Image preprocessing is aimed at image denoising and enhancement to help with small target detection. According to the sparse representation theory, the IR original image is low rank, and the coefficient shows a sparse character. The low ran... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Fangping Xu, Jun Chen and Jianyong Zhu    
Insufficient color feature extraction can lead to poor prediction performance in rare earth element composition estimation. To address this issue, we propose a one-dimensional convolutional method for predicting rare earth element composition. First, ima... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nasrin Bayat, Diane D. Davey, Melanie Coathup and Joon-Hyuk Park    
Accurate and robust human immune system assessment through white blood cell evaluation require computer-aided tools with pathologist-level accuracy. This work presents a multi-attention leukocytes subtype classification method by leveraging fine-grained ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Zeju Wu, Yang Ji, Lijun Song and Jianyuan Sun    
To solve the problems of underwater image color deviation, low contrast, and blurred details, an algorithm based on color correction and detail enhancement is proposed. First, the improved nonlocal means denoising algorithm is used to denoise the underwa... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Shou-Cih Chen and Chung-Cheng Chiu    
The edge detection algorithm is the cornerstone of image processing; a good edge detection result can further extract the required information through rich texture information and achieve object detection, segmentation, and identification. To obtain a ri... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Paola Tartarotti, Sara Sibil Giuseppina Guerini, Francesca Rotondo, Andrea Festa, Gianni Balestro, Gray E. Bebout, Enrico Cannaò, Gabe S. Epstein and Marco Scambelluri    
The primary stratigraphic fabric of a chaotic rock unit in the Zermatt Saas ophiolite of the Western Alps was reworked by a polyphase Alpine tectonic deformation. Multiscalar structural criteria demonstrate that this unit was deformed by two ductile subd... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Yuantao Chen, Jin Wang, Xi Chen, Arun Kumar Sangaiah, Kai Yang and Zhouhong Cao    
For the image super-resolution method from a single channel, it is difficult to achieve both fast convergence and high-quality texture restoration. By mitigating the weaknesses of existing methods, the present paper proposes an image super-resolution alg... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Hongmei Liu, Jinhua Liu and Mingfeng Zhao    
To improve the invisibility and robustness of the multiplicative watermarking algorithm, an adaptive image watermarking algorithm is proposed based on the visual saliency model and Laplacian distribution in the wavelet domain. The algorithm designs an ad... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yingchun Guo, Ruoyu Wei and Yi Liu    
In this paper, we propose a bimodal 3D facial recognition method aimed at increasing the recognition rate and reducing the effect of illumination, pose, expression, ages, and occlusion on facial recognition. There are two features extracted from the mult... ver más
Revista: Information    Formato: Electrónico

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