Factors Driving Background Choice in Scorpionfish by Leonie John, Matteo Santon, Nico K. Michiels

“…By using visual modelling on data extracted from standardised photography of natural substrates, we show that scorpionfish should be able to visually distinguish between different substrates using achromatic rather than chromatic contrast information. …”
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Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction by Jiao Jiao, Longlong Xiao, Chonglei Wang

“…Secondly, the hyperspectral visual attention model is applied to extract the salient feature map of the image, and the initial anomaly detection map can be obtained by morphological filtering and background subtraction. …”
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Architecture and optimization of data mining modeling for visualization of knowledge extraction: Patient safety care by Gebeyehu Belay Gebremeskel, Birhanu Hailu, Belete Biazen

“…The strength of this approach is the depth for visualization towards the knowledge extraction process and its understandability for users as per their background and circumstances. …”
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Performance Enhancement of an SSVEP-Based Brain–Computer Interface in Augmented Reality Through Adaptive Color Adjustment of Visual Stimuli for Optimal Background Contrast by Cheong-Un Kim, Seonghun Park, Chang-Hwan Im

“…The aim of this study is to develop a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) system with enhanced performance in an augmented reality (AR) environment by dynamically adjusting colors of visual stimuli to contrast with the background seen through the transparent display. …”
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Limbal versus Pars plana extraction of posterior segment IOFBs using 23-gauge vitrectomy: anatomical and visual outcomes, and predictive factors for postoperative retinal detachmen... by Abbas A. A. Hashem, Ahmad S. Khalil, Sherif A. Dabour, Wael M. El-Haig

“…Conclusions IOFB extraction via the limbus or pars plana using 23-gauge PPV provides comparable anatomical and visual outcomes. …”
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StationNet: An Algorithm for the Extraction and Visualization of Top-n Correlated Bike Stations in Bike Sharing Systems Big Datasets by Ahmet Şakir Dokuz

“…In particular, the extraction of a bike station network from BSS big datasets are defined and a new algorithm is proposed for extraction of bike station network, and also a new visualization approach that uses common visualization tools is utilized to represent bike station network on a map which would provide more information than a network without a background information. …”
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Research on visual positioning method of roadheader based on infrared LED line-type target by Jicheng WAN, Xuhui ZHANG, Wenjuan YANG, Chao ZHANG, Mengyu LEI, Yuyang DU, Zheng DONG, Junhao YANG

“…In order to improve the accuracy and robustness of posture measurement of roadheader fuselage, a visual posture measurement method of roadheader based on infrared LED linear target is proposed. …”
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Visual contextual perception and user emotional feedback in visual communication design by Jiayi Zhu

“…Abstract Background With the advent of the information era, the significance of visual communication design has escalated within the realm of increasingly prevalent network applications. …”
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A visual positioning method for tunnel boring machines in underground coal mines based on anchor net features by Xuhui ZHANG, Yunkai CHI, Yuyang DU, Junying JIANG, Wenjuan YANG, Youjun ZHAO, Jicheng WAN, Yanqun WANG, Chenhui TIAN

“…BackgroundPrecise positioning of tunnel boring machines (TBMs) in underground coal mines plays a fundamental role in the automated and intelligent guidance and control of fully mechanized heading face. …”
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Motion feature extraction using magnocellular-inspired spiking neural networks for drone detection by Jiayi Zheng, Jiayi Zheng, Yaping Wan, Xin Yang, Hua Zhong, Minghua Du, Gang Wang, Gang Wang

“…To design and train the MG-SNN, we propose a new backpropagation method called Dynamic Threshold Multi-frame Spike Time Sequence (DT-MSTS), and establish a dataset for the training and validation of MG-SNN, effectively extracting and updating visual motion features. Experimental results in terms of drone detection performance indicate that the incorporation of MG-SNN significantly improves the accuracy of low-altitude drone detection tasks compared to popular small object detection algorithms, acting as a cheap plug-and-play module in detecting small flying targets against complex backgrounds.…”
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Estimation of Fractal Dimensions and Classification of Plant Disease with Complex Backgrounds by Muhammad Hamza Tariq, Haseeb Sultan, Rehan Akram, Seung Gu Kim, Jung Soo Kim, Muhammad Usman, Hafiz Ali Hamza Gondal, Juwon Seo, Yong Ho Lee, Kang Ryoung Park

“…RCA-Net leverages attention mechanisms and multiscale feature extraction strategies to enhance salient features while reducing background noises. …”
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Numerical Background-Oriented Schlieren for Phase Reconstruction and Its Potential Applications by Shiwei Liu, Yichong Ren, Haiping Mei, Zhiwei Tao, Shuran Ye, Xiaoxuan Ma, Ruizhong Rao

“…This study presents a comprehensive numerical framework for Background-Oriented Schlieren (BOS) to systematically evaluate its performance and reconstructive capabilities under complex flow conditions. …”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

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The Efficiency, Predictability and Safety Between Custom-Q Femotsecond Laser In Situ Keratomileusis and Second (Visumax 800) Generation Keratorefractive Lenticule Extraction Surger... by Chia-Yi Lee, Shun-Fa Yang, Ie-Bin Lian, Hung-Chi Chen, Jing-Yang Huang, Chao-Kai Chang

“…<b>Background/Objectives</b>: To evaluate the postoperative outcomes between the second-generation keratorefractive lenticule extraction (KLEx) surgery and femtosecond laser in situ keratomileusis (FS-LASIK). …”
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E-Commerce Image Enhancement Method Based on Instance Segmentation and Background Replacement by Qiang Gao, Huiping Hu, Wei Liu

“…Dominant color detection ensures visual consistency by extracting the primary colors of the product images. …”
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Visual Tracking Based on Discriminative Compressed Features by Wei Liu, Hui Wang

“…In this paper, we propose a novel visual tracking method, which uses compressed features to model target’s appearances and then uses SVM to distinguish the target from its background. …”
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YOLOv10-LGDA: An Improved Algorithm for Defect Detection in Citrus Fruits Across Diverse Backgrounds by Lun Wang, Rong Ye, Youqing Chen, Tong Li

“…This study aims to accurately identify citrus defects against varying backgrounds by focusing on four types of diseases: citrus black spot, citrus canker, citrus greening, and citrus melanose. …”
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Infrared Imaging Detection for Hazardous Gas Leakage Using Background Information and Improved YOLO Networks by Minghe Wang, Dian Sheng, Pan Yuan, Weiqi Jin, Li Li

“…We introduce a synthetic image colorization method based on background estimation, which leverages background estimation techniques to integrate motion features from gas plumes within the synthesized images. …”
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Modern approaches to visual rehabilitation of patients with neuromotor disorde by O. V. Pisarevskaya, L. N. Bachaldina, M. A. Gasparyan

“…Background. Approximately 50 % of children with cerebral palsy have vision problems, manifested in strabismus, impaired eye mobility, refractive errors, nystagmus development and partial atrophy of the optic nerve.The aim: to present a clinical case of combined correction of myopia and divergent strabismus in a patient with cerebral palsy (CP).Materials and methods. …”
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Swin‐YOLOX for autonomous and accurate drone visual landing by Rongbin Chen, Ying Xu, Mohamad Sabri bin Sinal, Dongsheng Zhong, Xinru Li, Bo Li, Yadong Guo, Qingjia Luo

“…GPS‐based methods will not work in places where GPS signals are not available; multi‐sensor combination navigation is difficult to be widely used because of the high equipment requirements; traditional vision‐based methods are sensitive to scale transformation, background complexity and occlusion, which affect the detection performance. …”
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