An M-DeepSORT Algorithm for Pedestrian Detection and Tracking Based on Video Images – A Case Study in Ji-nan Subway Station by Wei ZHANG, Chuang ZHU, Yunchao QU, Guanhua LIU, Der-Horng LEE

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Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm by S. M. Fazle Rabby Labib, Joyanta Jyoti Mondal, Meem Arafat Manab, Xi Xiao, Sarfaraz Newaz

“…Abstract The susceptibility of deep neural networks (DNNs) to adversarial attacks undermines their reliability across numerous applications, underscoring the necessity for an in-depth exploration of these vulnerabilities and the formulation of robust defense strategies. The DeepFool algorithm by Moosavi-Dezfooli et al. (2016) represents a pivotal step in identifying minimal perturbations required to induce misclassification of input images. …”
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Gradient-Controlled Gaussian Kernel for Image Inpainting by Hossein Noori

“…Image inpainting is the process of filling in damaged or missing regions in an image by using information from known regions or known pixels of the image. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…The improper classification of these images leads towards higher complexity in classification process. …”
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Design of an improved worm gear tooth profile edge-preserving filter for image detail enhancement by Yong ZHENG, Wei XIE, Yan CHEN, Huayu ZHAO, Tianheng ZHANG, Gaoxin DUAN, Hongdi LIU

“…To address these challenges, this study introduces an enhanced method for designing a worm gear tooth profile edge-preserving filter aimed at image detail enhancement. To amplify image details, a two-stage guided filtering algorithm is employed, utilizing the original image and the post-threshold segmented image as guide images for separate filtering processes, followed by a fusion step. …”
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Diagnosis and Classification of Two Common Potato Leaf Diseases (Early Blight and Late Blight) Using Image Processing and Machine Learning by H. Koroshi Talab, D. Mohammad Zamani, M. Gholami Parashkoohi

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Feasibility of Implementing Motion-Compensated Magnetic Resonance Imaging Reconstruction on Graphics Processing Units Using Compute Unified Device Architecture by Mohamed Aziz Zeroual, Natalia Dudysheva, Vincent Gras, Franck Mauconduit, Karyna Isaieva, Pierre-André Vuissoz, Freddy Odille

“…Motion correction in magnetic resonance imaging (MRI) has become increasingly complex due to the high computational demands of iterative reconstruction algorithms and the heterogeneity of emerging computing platforms. …”
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Low Illumination Video Image Enhancement by Zhi Li, Zhenhong Jia, Jie Yang, Nikola Kasabov

“…Based on the actual data of night video surveillance, this paper proposes a new low illumination video image enhancement algorithm, which overcomes the existing problems. …”
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GPS Spoofing Detection using CAF Images and Neural Networks Based on the Proposed Peak Mapping Dimensionality Reduction Algorithm and TCNN Model by M. J. Jahantab, S. Tohidi, Mohammad Reza Mosavi, Ahmad Ayatollahi

“…Furthermore, a dimension reduction algorithm is proposed to improve the speed and performance of the detection process. …”
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Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

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Optimizing knee osteoarthritis severity prediction on MRI images using deep stacking ensemble technique by Punita Panwar, Sandeep Chaurasia, Jayesh Gangrade, Ashwani Bilandi, Dayananda Pruthviraja

“…In order to address the limitation of time and expedite the diagnostic process, deep learning algorithms have been implemented in the medical field. …”
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Enhancing Pest Detection: Assessing Tuta absoluta (Lepidoptera: Gelechiidae) Damage Intensity in Field Images through Advanced Machine Learning by Edwin Lewıs, Atilla Erdinç, Yavuz Selim Şahin, Alperen Kaan Bütüner, Hilal Erdoğan

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Hardware-Optimized Architecture of On-Board Registration for Remote-Sensing Images —Take SURF as an Example by Xin Du, Cankun Yang, Ruofei Zhong, Qingyang Li, Yuanhang Wang, Zhaoming Huang, Xianlin Liu

“…On one hand, optimized methods for the image registration algorithm are proposed from both software and hardware perspectives, providing a solution for on-board registration. …”
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DIAGNOSTIC IMAGING STANDARDS FOR BONE METASTASES by N. I. Sergeev, P. M. Kotlyarov, V. A. Solodkiy

“…The original «principle of 8 diagnostic elements» had been created, allowing the assessment of the main pathological conditions and processes occurring in bone structures. Based on the analysis and statistic processing of 236 foci of metastatic lesion, the diagnostic informative value of each of the imaging modalities and the algorithm as a whole were assessed, and the reference values were determined. …”
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Features Image Matchingof SUＲF and ＲANSAC by WANG Wei-bing, BAI Xiao-ling, XU Qian

“…Aiming at the problem of long running time and low matching accuracy in image matching process， random sample consensus ( ＲANSAC) algorithm is used to optimize the speed-up of robust features ( SUＲF) optimization algorithm. …”
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Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

“…The proposed method was compared with traditional image processing techniques and classical polarization imaging methods. …”
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On the Forward Scattering of Microwave Breast Imaging by Hoi-Shun Lui, Andreas Fhager, Mikael Persson

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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. It highlights the intricate process involved in selecting the most suitable ML algorithm for predicting specific medical conditions, emphasizing the critical role of real-world data in testing and validation. …”
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Evaluation of a Polarimetric Contrast Enhancement Technique as Preprocessing Step for Vessel Detection in SAR Images: Comparison of Frequency Bands and Polarimetric Modes by Alejandro Mestre-Quereda, Juan M. Lopez-Sanchez

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Implementasi Steganografi Gambar Menggunakan Algoritma Generative Adversarial Network by Khairunnisak Khairunnisak, Gilang Miftakhul Fahmi, Didit Suhartono

“…Therefore this study applies image processing techniques with the Generative Adversarial Network algorithm model, which aims to manipulate images so that steganalysis techniques cannot detect hidden messages. …”
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