Data augmentation-assisted muck image recognition during shield tunnelling by Tao Yan, Shui-Long Shen, Annan Zhou

“…The deep image recognition algorithms (AlexNet and GoogLeNet) were trained and enhanced by the augmentation images, which were used to establish the muck types identification models and assessed by the evaluation indices. …”
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AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise by Muyi Bao, Nanlin Jin, Ming Xu

“…This process is achieved by the dynamic routing algorithm and can maintain the image’s spatial hierarchies. …”
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A hybrid fusion of wireless signals and RGB image for indoor positioning by Jichao Jiao, Fei Li, Weihua Tang, Zhongliang Deng, Jichang Cao

“…In this article, we propose a new indoor positioning algorithm using smartphones, where wireless signals and images are deeply combined together to improve the positioning performance. …”
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An explainable transformer model for Alzheimer’s disease detection using retinal imaging by Saeed Jamshidiha, Alireza Rezaee, Farshid Hajati, Mojtaba Golzan, Raymond Chiong

“…To provide insights into the decision-making process of our model, we employ the Gradient-weighted Class Activation Mapping algorithm to visualise the feature importance maps, highlighting the regions of the retinal images that contribute most significantly to the classification outcome. …”
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A New Image Oversampling Method Based on Influence Functions and Weights by Jun Ye, Shoulei Lu, Jiawei Chen

“…To verify that our scheme can synthesize high-quality images and thus improve classification accuracy, we conduct experiments on the processed CIFAR10, CIFAR100, and ImageNet-LT datasets.…”
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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Experimental results on three public benchmark datasets (OfficeHome, PACS, and VLCS) demonstrate that our proposed algorithm achieves an improvement of up to 3 . 38% over existing methods in terms of generalization performance, particularly in complex and diverse real-world scenarios, such as autonomous driving and medical image analysis. …”
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Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging by Sri Harsha Kondapalli, Shantanu Chakrabartty

“…<italic>Conclusions:</italic> In this paper we demonstrated that a combination of B-scan imaging and a simple decoding algorithm can significantly reduce the energy-budget requirements for reliable ultrasonic telemetry.…”
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Development of a Hyperspectral Imaging Protocol for Painting Applications at the University of Seville by Giovanna Vasco, Hélène Aureli, Isabel Fernández-Lizaranzu, Javier Moreno-Soto, Anabelle Križnar, Rubén Parrilla-Giraldez, Emilio Gómez-González, Miguel Angel Respaldiza Galisteo

“…However, a considerable limitation was given by redundant and time-consuming features, with the necessary application of statistical algorithms and image-processing tools to extract relevant information. …”
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An Ultrafast Image Simulation Technique with Spatially Variable Point-spread Functions by Zeyu Bai, Peng Jia, Jiameng Lv, Xiang Zhang, Wennan Xiang, Lin Nie

“…Simulated images are essential in algorithm development and instrument testing for optical telescopes. …”
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Leveraging Finite-Precision Errors in Chaotic Systems for Enhanced Image Encryption by B. M. El-Den, Saad Aldosary, Haitham Khaled, Tarek M. Hassan, Walid Raslan

“…In this study, we propose an innovative encryption method that leverages finite-precision errors within chaotic systems. The algorithm generates a keystream based on lower bound error and employs standard MATLAB routines to describe its main steps, including initialization and image factor addition, Chua&#x2019;s circuit simulation, error sequence generation, normalization, reshaping of the normalized sequence, and the encryption process. …”
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Optimizing image capture for low-light widefield quantitative fluorescence microscopy by Zane Peterkovic, Avinash Upadhya, Christopher Perrella, Admir Bajraktarevic, Ramses E. Bautista Gonzalez, Megan Lim, Kylie R. Dunning, Kishan Dholakia

“…The tutorial covers a detailed discussion of user-controllable parameters, as well as the application of post-processing algorithms for denoising. We illustrate these concepts using autofluorescence images of live mammalian embryos captured with a two-photon light sheet fluorescence microscope.…”
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Autoregressive Neural Network for Cloud Concentration Forecast from Hemispheric Sky Images by Cristian Crisosto

“…Firstly, a statistical method is presented to obtain key information of the pictures. Secondly, a new image-processing algorithm is suggested to optimize the cloud detection process starting with the Haze Index. …”
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Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination by Xu Ma, Dong Wang, Angela Cuadros, Tianyi Mao, Qile Zhao, Gonzalo R. Arce, Tingfa Xu

“…Subsequently, a genetic algorithm is developed to optimize the exposure sequence of X-ray sources, and mask patterns, and during the dynamic measurement process. …”
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FRANet: A Feature Refinement Attention Network for SAR Image Denoising by Shuaiqi Liu, Yu Lei, Qi Hu, Ming Liu, Bing Li, Weiming Hu, Yu-Dong Zhang

“…With the development of deep learning, several denoising algorithms based on deep learning are proposed to achieve a better SAR image denoising effect. …”
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Brain Tumor Identification and Classification of MRI Images Using Deep Learning Techniques by Zheshu Jia, Deyun Chen

“…Image processing concepts can imagine the various anatomical structure of the human organ. …”
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The Morphological Description Automation of the Optic Nerve Head Boundary in Digital Fundus Images by E. G. Tanaeva, R. G. Khafizov

“…Тhe presented method can be used to create expert systems which allow to automate the process of morphological description of the optic nerve head border from the fundus images and also can partially solve the diagnostic problem. …”
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Pavement pothole detection system based on deep learning and binocular vision by Tian Guan, Jianyuan Cai, Yu Wang, Wei Yang, Xiaobo Chang, Yi Han

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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…A set of standard benchmark applications was used to determine the optimal parameters for the algorithms, which were then validated on two real-world application examples involving the detection of features in high-resolution PCB images. …”
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Constructing a Computer Model of the Human Eye Based on Tissue Slice Images by Peishan Dai, Boliang Wang, Chunbo Bao, Ying Ju

“…A level set algorithm was used to extract contour points of eye tissues while a principle component analysis was used to detect the central axis of the image. …”
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Classification of Salmon Freshness In Situ Using Convolutional Neural Network by Juan Miguel L. Valeriano, Carlos C. Hortinela

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