VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…Although coffee is a crucial commodity for developing nations’ economies, processing defects can significantly impact the safety, commercial value, and quality of coffee beans. …”
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Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

“…Deep learning-based techniques have proven effective for image interpretation, offering a better alternative to traditional image processing methods. …”
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A lightweight deep-learning model for parasite egg detection in microscopy images by Wenbin Xu, Qiang Zhai, Jizhong Liu, Xingyu Xu, Jing Hua

“…Automated detection can eliminate the dependence on professionals, but the current detection algorithms require large computational resources, which increases the lower limit of automated detection. …”
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Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer by Xiao Wei, Liu Chanjuan, Jiang Ke, Ye Linyun, Gao Jinxing, Wang Quanbing

“…The current study proposes a new approach for identifying oral cancer patients based on image processing and deep learning. The current study employs a recently integrated model of an improved tunicate swarm algorithm to produce an efficient tool for improving a convolutional neural network and delivering an accurate cancer diagnostic system. …”
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Observación y cuantificación de defectos en soldaduras a través del procesamiento digital de imágenes termográficas//Defects in weld observation and quantification through digital... by Eriel Pérez-Zapico, Alejandro Duffus‐Scott, Carlos René Gómez‐Pérez, Freddy Santo‐Castillo

“…Two structural steel welded specimens with internal discontinuities were<br />tested; the infrarred camera was placed perpendicular to the specimens and was obtained the images during the cooling. The infrared images digital processing algorithm was based on the conversion of the images to scale of gray, filters and morphological operations application for quantification the defects.…”
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Modified Spherical Geometry Algorithm for Spaceborne SAR Data Processing in Sliding Spotlight Mode by Jixia Fan, Manyi Tao, Xinhua Mao

“…Spaceborne high-resolution wide-area SAR image formation processing faces critical challenges induced by orbital curvature, Earth rotation, and spherical ground surfaces. …”
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Reliable and efficient magnetic data inversion for resource detection using a hybrid bat algorithm by Khalid S. Essa, Mahmoud Elhussein, Omar A. Gomaa, Zein E. Diab

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An Information-Extreme Algorithm for Universal Nuclear Feature-Driven Automated Classification of Breast Cancer Cells by Taras Savchenko, Ruslana Lakhtaryna, Anastasiia Denysenko, Anatoliy Dovbysh, Sarah E. Coupland, Roman Moskalenko

“…<b>Methods</b>: Digitized histological images were processed to identify hyperchromatic cells. …”
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A density-based MS disease diagnosis model using the capuchin search algorithm and an ensemble of deep neural networks by LiJuan Bai, Jiao Wu, Li Chen, Xin Jiang, ZhuYin Song

“…This method uses slices of magnetic resonance imaging (MRI) images as input. Then, after the pre-processing operation, the process of segmentation and identification of the region of interest (ROI) is performed using a combination of the fuzzy c-means (FCM) algorithm and the capuchin search algorithm (CapSA) algorithm. …”
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Multi-focus image fusion based on pulse coupled neural network and WSEML in DTCWT domain by Yuan Jia, Tiande Ma

“…The source images are decomposed by DTCWT into low- and high-frequency components, respectively; then the average gradient (AG) motivate PCNN-based fusion rule is used to process the low-frequency components, and the WSEML-based fusion rule is used to process the high-frequency components; we conducted simulation experiments on the public Lytro dataset, demonstrating the superiority of the algorithm we proposed.…”
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COMPLEXING IMAGES IN A TWO-CHANNEL OPTICAL-ELECTRONIC SYSTEM AS A METHOD OF REDUCING THE PROBABILITY OF DISAPPOINTING AN AUTOMATIC SURVEILLANCE OF LOW CONTRAST OBJECTS by A. V. Khizhniak

“…For research the mathematical apparatus of the theory of random functions and simulation with subsequent statistical data processing are used. It is shown that the probability of disruption, characterized by the ratio of the correlation coefficients of two fragments of images, one of which contains the desired object, and the second not, depends on both the correlation coefficients and the values of their mean square deviations. …”
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PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding by Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn

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Radar system for unmanned aerial vehicles by Vladislav R. Skrynskij

“…Use of algorithms for automatic processing and analysis of the obtained data in real time. …”
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AIF: Infrared and Visible Image Fusion Based on Ascending–Descending Mechanism and Illumination Perception Subnetwork by Ying Liu, Xinyue Mi, Zhaofu Liu, Yu Yao

“…However, the existing image fusion algorithms rarely consider light factor in the modeling process. …”
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Comparison of quality control methods for automated diffusion tensor imaging analysis pipelines. by Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Melissa F Holmes, Stephen R Arnott, Nuwan D Nanayakkara, Joel Ramirez, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, ONDRI Investigators, Robert Bartha

“…In this study, three automatic DTI processing pipelines, each complying with the general ENIGMA framework, were designed by uniquely combining multiple image processing software tools. …”
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Digital image representation by atomic functions: features for computer vision and machine learning by Viktor Makarichev, Vladimir Lukin, Sergii Kryvenko, Iryna Brysina

“…The focus of this work is to assess whether DAT is suitable for ML and CV applications, particularly in the context of image clustering. We evaluated the performance of the well-known k-means clustering algorithm when applied to DAT images. …”
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Image Noise Preprocessing of Interactive Projection System Based on Switching Filtering Scheme by Lei Yu

“…The experimental results demonstrate and validate that the proposed switching filter algorithm not only effectively removes the noise but also ensures the real-time performance of tracking and achieves good target tracking performance, which makes it applicable in various image filtering processing systems.…”
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An Ante Hoc Enhancement Method for Image-Based Complex Financial Table Extraction by Weiyu Peng, Xuhui Li

“…However, this can be a challenging task, as many tables exist in unstructured forms, such as scanned images in PDFs, rather than forms which can be easily processed, such as Excel spreadsheets. …”
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Joint Multichannel Motion Compensation Method for MIMO SAR 3D Imaging by Ze-min Yang, Meng-dao Xing, Guang-cai Sun, Zheng Bao

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Differential Evolution-Based Transient Search Optimizer for Image Multi-Thresholding Problem by Nitin Mittal, Supreet Singh, Lalit Kumar, Gurpreet Kaur, Vikas Mittal, A. Johnson Santhosh

“…Abstract A significant number of image processing and evaluation processes are presented and applied, due to their practical significance, in a variety of disciplines in the literature related to image processing and computer vision. …”
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