Image Target Detection and Recognition Method Using Deep Learning by Hongyan Sun

“…Finally, the experimental results showed that the image target detection and recognition algorithm proposed in this paper can be better applied to image target detection and classification in complex environment and had higher detection efficiency and recognition accuracy than the existing models. …”
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Calculus accumulation-based method for extracting values of instrumentation image by Dianming Wang, Li Zhou, Xiangxin Chen, Mingxin Yi, Xiaoju Yin

“…The working conditions of outdoor pointer instruments are complex, and the dial is vulnerable to environmental pollution, so it is difficult to identify the readings online accurately. …”
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Harnessing Raman spectroscopy and multimodal imaging of cartilage for osteoarthritis diagnosis by Anna Crisford, Hiroki Cook, Konstantinos Bourdakos, Seshasailam Venkateswaran, Douglas Dunlop, Richard O. C. Oreffo, Sumeet Mahajan

“…Prominent chemical changes in the different layers of cartilage were preliminarily imaged using CARS, SHG and TPF. Cell clustering was observed in OA together with differences in pericellular matrix and collagen structure in the superficial and the deep layers correlating with the Raman spectral analysis. …”
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Exploring the use of thermal infrared imaging in human stress research. by Veronika Engert, Arcangelo Merla, Joshua A Grant, Daniela Cardone, Anita Tusche, Tania Singer

“…High resolution thermal infrared imaging is a pioneering method giving indices of sympathetic activity via the contact-free recording of facial tissues (thermal imprints). …”
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Programmable Multiwavelength Achromatic Focusing and Imaging Through Scattering Media by Jietao Liu, Jiannan Wang, Wei Li, Xueying Sun, Lei Zhu, Chengfei Guo, Xiaopeng Shao

“…Optical imaging and focusing through complex samples is a challenge with important applications in many fields. …”
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Unsupervised image velocimetry for automated computation of river flow velocities by M. T. Perks, B. Hortobágyi, B. Hortobágyi, N. Everard, S. Manson, J. Rowland, A. Large, A. J. Russell

“…Following image velocimetry analysis, two differing approaches are adopted to produce outputs that are representative of the depth-averaged and cross-section-averaged flow velocities. …”
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Algorithm for Processing X-ray Images Using Fuzzy Logic by A. S. Mannaa

“…To improve the diagnostics of knee joint diseases, it is necessary to enhance the quality of processing radiographic images, i.e., to provide experts with more accurate information for pathology analysis. …”
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From Cellular to Metabolic: Advances in Imaging of Inherited Retinal Diseases by Deepika C. Parameswarappa, Ashwini Kulkarni, Niroj Kumar Sahoo, Srikanta Kumar Padhy, Sumit Randhir Singh, Elise Héon, Jay Chhablani

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Inverse imaging with elastic waves driven by unsupervised machine learning by Liyou Luo, Yaxi Shen, Jiawei Xi, Yabin Jin, Daniel Torrent, Jensen Li

“…Abstract In inverse imaging and scattering problems, it is critical to avoid potentially solving problems with ambiguity, where the solution space may exceed what is represented in observation data that could lead to non-uniqueness. …”
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Study of Recent Image Restoration Techniques: A Comprehensive Survey by Nikita Singhal, Anup Kadam, Pravesh Kumar, Hritik Singh, Aaryan Thakur, Pranay

“…Restoration is important in many applications, including medical imaging, surveillance, photography, and remote sensing, where image quality will be critical to the correctness of analysis and decision. …”
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Multispectral image fusion method based on edge chromatic aberration by Y. Shi, D. Qiu, R. Wu, R. Wu, W. Niu, Z. Wang

“…In multispectral image fusion, edge distortion, spectral loss, and geometric mismatch seriously affect the fusion accuracy, especially in complex road scenes with shadows or occlusions. …”
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Modern Trends and Recent Applications of Hyperspectral Imaging: A Review by Ming-Fang Cheng, Arvind Mukundan, Riya Karmakar, Muhamed Adil Edavana Valappil, Jumana Jouhar, Hsiang-Chen Wang

“…Future advancements are anticipated to concentrate on the integration of deep learning models for automated feature extraction and decision-making in hyperspectral imaging analysis. The development of lightweight, portable HSI devices will enable more on-site applications in agriculture, healthcare, and environmental monitoring. …”
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Multimodal scene recognition using semantic segmentation and deep learning integration by Aysha Naseer, Mohammed Alnusayri, Haifa F. Alhasson, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi, Ahmad Jalal, Jeongmin Park

“…Convolutional neural networks (CNNs) and spatial pyramid pooling (SPP) are used for analysis after a depth-aware segmentation methodology is used to identify several objects in an image. …”
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Multi-Modal Fusion and Longitudinal Analysis for Alzheimer’s Disease Classification Using Deep Learning by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young Im Cho

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The intellectual paradigm and scientific mapping of brand image in International Researches by Maryam Najafi Yazdi, Seyed Hassan Hataminasab, Shahnaz Nayebzadeh

“…The in-depth analysis of the selected articles showed that the most research in the field of brand image is related to 2021 with the number of 55 articles (13.819%). …”
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AG-MS3D-CNN multiscale attention guided 3D convolutional neural network for robust brain tumor segmentation across MRI protocols by Umesh Kumar Lilhore, R. Sunder, Sarita Simaiya, Majed Alsafyani, M. D. Monish Khan, Roobaea Alroobaea, Hamed Alsufyani, Abdullah M. Baqasah

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Automated Segmentation of Breast Cancer Focal Lesions on Ultrasound Images by Dmitry Pasynkov, Ivan Egoshin, Alexey Kolchev, Ivan Kliouchkin, Olga Pasynkova, Zahraa Saad, Anis Daou, Esam Mohamed Abuzenar

“…Ultrasound (US) remains the main modality for the differential diagnosis of changes revealed by mammography. However, the US images themselves are subject to various types of noise and artifacts from reflections, which can worsen the quality of their analysis. …”
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Fast and Robust Image Encryption Scheme Based on Quantum Logistic Map and Hyperchaotic System by Nehal Abd El-Salam Mohamed, Aliaa Youssif, Hala Abdel-Galil El-Sayed

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Research on Data-driven PET-CT Gating Imaging Method by XU Shidong1, 2, 3, 4, SUN Xiaoli1, 3, 4, , LIU Shuangquan1, 3, 4, ZHENG Yushuang1, 3, 4, LI Mohan1, 3, 4, WEI Cunfeng1, 2, 3, 4

“…During the imaging of the thorax and heart in vivo, motion blur caused by unavoidable respiratory and cardiac movements severely interferes with quantitative analysis, thus affecting the accuracy of diagnostic results. …”

Medical Image Fusion Based on Feature Extraction and Sparse Representation by Yin Fei, Gao Wei, Song Zongxi

“…As a novel multiscale geometric analysis tool, sparse representation has shown many advantages over the conventional image representation methods. …”
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