BDMANGO: An image dataset for identifying the variety of mango based on the mango leavesMendeley Data by Mohammad Manzurul Islam, Md. Jubayer Ahmed, Mahmud Bin Shafi, Aritra Das, Md. Rakibul Hasan, Abdullah Al Rafi, Mohammad Rifat Ahmmad Rashid, Nishat Tasnim Niloy, Md. Sawkat Ali, Abdullahi Chowdhury, Ahmed Abdal Shafi Rasel

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Time-frequency image and high-order spectrum characteristics based radar signal recognition by Shitong LI, Daying QUAN, Zeyu TANG, Yun CHEN, Xiaofeng WANG, Xiaoping JIN

“…Aiming at improving the accuracy of radar signal recognition under a low signal-to-noise ratio, a radar signal recognition algorithm based both on time-frequency image and high-order spectrum feature was proposed.Firstly, the time-frequency image was obtained by Choi-Williams distribution (CWD) transform, based on which the time-frequency image was preprocessed and the texture features were extracted by gray level co-occurrence matrix (GLCM) in sequence.Meanwhile, the symmetrical holder coefficient was used to extract the high-order spectral features of the signal.Then, the texture features and high-order spectrum features were form a new set of joint feature vectors.Finally, with the proposed feature vector the classification and recognition of radar signals were implemented by a support vector machine.The algorithm was verified on the data set with eight typical radar signals.Experimental results show that the recognition accuracy of different radar signals can achieve higher than 90% when the signal-to-noise ratio is -8 dB.…”
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Overweight, Thinness, Body Self-Image and Eating Strategies of 2,121 Italian Teenagers. by Roberta Guarino, Alberto Pellai, Luca Bassoli, Mario Cozzi, Maria Angela Di Sanzo, Daniela Campra, Andrea Guala

“…This study describes the prevalence rate of overweight and thinness in a population of teens living in two different areas of Italy and explores the body self-image perception and unhealthy eating behaviours and strategies to lose weight. …”
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Design and Communication of City Brand Image Based on Big Data and Personalized Recommendation System by Yan Lin, Guofeng Hu

“…In order to define the positioning of the urban brand image, design the urban brand image, integrate and optimize the communication channels, improve the public participation awareness, and enhance the core competitiveness of the city. …”
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Photographie et écologie aux États-Unis: l’image à contre-emploi by François Brunet

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MEDIA COOPERATION AS A PLATFORM TO IMPLEMENT SCIENTIFIC AND EDUCATIONAL PROJECTS AND TO FORM THE TERRITORY IMAGE by Georgiy V. Korshunov, Daniil O. Yur’Ev, Viktoriya A. Pul’Kina

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Automated Fillet Weld Inspection Based on Deep Learning from 2D Images by Ignacio Diaz-Cano, Arturo Morgado-Estevez, José María Rodríguez Corral, Pablo Medina-Coello, Blas Salvador-Dominguez, Miguel Alvarez-Alcon

“…This work presents an automated welding inspection system based on a neural network trained through a series of 2D images of welding seams obtained in the same study. …”
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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…However, with substantial technological advancements, deep learning (DL) has emerged as a potent tool in clinical settings, particularly in the realm of medical imaging. This study leveraged the LC25000 dataset, encompassing 25,000 images of lung and colon tissue, introducing an innovative approach by employing a self-organized operational neural network (Self-ONN) to accurately detect lung and colon cancer in histopathology images. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey by Ahmed Almazroa, Ritambhar Burman, Kaamran Raahemifar, Vasudevan Lakshminarayanan

“…Examining the head of optic nerve (cup-to-disc ratio) is very important for diagnosing glaucoma and for patient monitoring after diagnosis. Images of optic disc and optic cup are acquired by fundus camera as well as Optical Coherence Tomography. …”
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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

“…The classification of image time series has potential significance in the field of land-cover analysis with the increasing number of remote sensing images. …”
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FFUNet: A novel feature fusion makes strong decoder for medical image segmentation by Junsong Xie, Renju Zhu, Zezhi Wu, Jinling Ouyang

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Characterization of paleodrainages in desert regions of Saudi Arabia multisatellite images with field based study by Mashael M. Al Saud

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Goya dans l’historiographie française du xixe siècle : images et textes by Agnès Gué

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Real-Time G-Protein-Coupled Receptor Imaging to Understand and Quantify Receptor Dynamics by María S. Aymerich, J. López-Azcárate, J. Bonaventura, G. Navarro, D. Fernández-Suárez, V. Casadó, F. Mayor, C. Lluís, M. Valencia, J. Artieda, Rafael Franco

“…Thus, we believe that live imaging of GPCRs using spinning disk confocal image analysis constitutes a powerful tool to study of receptor dynamics.…”
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Design of Image Processing-based System for Detection of Heat Transfer Direction in Thermoelectric Modules by Serkan Dişlitaş, Özlem Altıok, Murat Alparslan Güngör

“…In this study, a system is designed to detect the heat transfer direction of TEMs using image processing techniques. The basic principle of the system is to determine the positive and negative poles of the TEMs together with the ceramic plate, using the color-based image processing method, and to determine the heat transfer direction by utilizing their relative positions. …”
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Noise Elimination and Contour Detection Based on Innovative Target Image Contour Coding Algorithm by Siming Meng

“…However, the contour is also an important feature for image shape recognition. In this paper, a good target image contour coding algorithm was adopted, and an LCV segmentation model with good image boundary acquisition capability that can reflect the target image contour features was selected for the original image contour segmentation. …”
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Repeatability, reproducibility, and the effects of radiotherapy on radiomic features of lowfield MR-LINAC images of the prostate by Parker Anderson, Nesrin Dogan, John Chetley Ford, Kyle Padgett, Garrett Simpson, Radka Stoyanova, Matthew Charles Abramowitz, Alan Dal Pra, Rodrigo Delgadillo

“…The correlation between FX1 images and 3T diagnostic MR (dT2) images was also studied. …”
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Sequence of episodic memory-related behavioral and brain-imaging abnormalities in type 2 diabetes by Bo Hu, Ying Yu, Xin-Wen Yu, Min-Hua Ni, Yan-Yan Cui, Xin-Yu Cao, Ai-Li Yang, Yu-Xin Jin, Sheng-Ru Liang, Si-Ning Li, Pan Dai, Ke Wu, Lin-Feng Yan, Bin Gao, Guang-Bin Cui

“…To comprehensively explore the neural mechanisms underlying it, we aimed to explore the sequence that episodic memory-related behavioral and brain-imaging biomarkers appear abnormal in the progression of T2D. …”
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Live-cell imaging and analysis of 3D spheroids in hypoxia- and radiotherapy-related research by Claire Beckers, Lazaros Vasilikos, Lorena Moor, Martin Pruschy

“…We developed a straightforward workflow for the analysis of spheroids based on image processing using a novel custom-written script, and flow cytometry.…”
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