The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network by Lei Wang, ZhouQi Liu, Jin Huang, Cong Liu, LongBo Zhang, ChunXiang Liu

“…With of help of the generative adversarial network, the whole procedure of multi-focus fusion is modeled to be the process of adversarial learning. Finally, several experiments are implemented and the results prove that the proposed method outperforms the popularly used fusion algorithms in terms of four typical objective metrics and the comparison of visual appearance.…”
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Enhancing face recognition in native low-resolution images using deep learning and bicubic interpolati by Ngoan Chi Le

“…Current face recognition algorithms struggle to deliver satisfactory results with such low-resolution images. …”
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Towards Reinforced Brain Tumor Segmentation on MRI Images Based on Temperature Changes on Pathologic Area by Abdelmajid Bousselham, Omar Bouattane, Mohamed Youssfi, Abdelhadi Raihani

“…The obtained results in all patients showed significant improvement using the proposed method compared to segmentation by level set method with an average of 0.8% of the tumor area and 2.48% of healthy tissue was differentiated using thermal images only. We conclude that tumor contours delineation based on tumor temperature changes can be exploited to reinforce and enhance segmentation algorithms in MRI diagnostic.…”
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Early Breast Cancer Prediction Using Thermal Images and Hybrid Feature Extraction-Based System by Doaa Youssef, Hanan Atef, Shaimaa Gamal, Jala El-Azab, Tawfik Ismail

“…The first method generates texture and edge maps based on the Gabor filter bank, Canny edge detector, and holistically nested edge detector to inherit the distinctive information and patterns associated with breast functionality. Then, an image fusion process is provided to construct one composite image retaining all the map’s information from which a highly valuable feature vector is extracted using the histogram of oriented gradients (HOG). …”
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CLINICAL AND EXPERIMENTAL ARGUMENTATION OF MODIFIED METHOD FOR PERI-IMPLANT BONE REDUCTION EVALUATION DURING VARIOUS SCHEMES OF PROSTHETIC REHABILITATION by A.T. Kenyuk

“…In order to determine peri-implant bone changes was used a modified algorithm of images superimposition which includes converting of each patient’s pairs of .dcm files to .stl format with further fragmentation zones of interest with a radius of 1 cm around each dental implant. …”
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Exploring Nutrient Deficiencies in Lettuce Crops: Utilizing Advanced Multidimensional Image Analysis for Precision Diagnosis by Jilong Xie, Shanshan Lv, Xihai Zhang, Weixian Song, Xinyi Liu, Yinghui Lu

“…The system first applied a dynamic window histogram median filtering algorithm to denoise captured lettuce images. An adaptive algorithm integrating global and local contrast enhancement was then used to improve image detail and contrast. …”
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A Customizable Face Generation Method Based on Stable Diffusion Model by Wenlong Xiang, Shuzhen Xu, Cuicui Lv, Shuo Wang

“…Facial generation technology uses computer algorithms and artificial intelligence techniques to generate realistic facial images. …”
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Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification by Ying Shi, Yuan Wan, Xinjian Wang, Huanhuan Li

“…By comprehensively considering both the processes of image representation and classification, more semantic information is retained, thereby leading to a more effective image representation. …”
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An EfficientNet integrated ResNet deep network and explainable AI for breast lesion classification from ultrasound images by Kiran Jabeen, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Shrooq Alsenan, Usman Tariq, Isaac Ofori

“…Recently, many learning‐based techniques have been introduced to classify breast cancer using breast ultrasound imaging dataset (BUSI) datasets; however, the manual handling is not an easy process and time consuming. …”
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BlendNet: a blending-based convolutional neural network for effective deep learning of electrocardiogram signals by S. Premanand, Sathiya Narayanan

“…This blended feature image is subjected to a dense layer that classifies the image. …”
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Clinical Validation of a Computed Tomography Image-Based Machine Learning Model for Segmentation and Quantification of Shoulder Muscles by Hamidreza Rajabzadeh-Oghaz, Josie Elwell, Bradley Schoch, William Aibinder, Bruno Gobbato, Daniel Wessell, Vikas Kumar, Christopher P. Roche

“…Incorporating these CT image-based measurements into the pre-operative planning process may facilitate more personalized treatment decision making, and help orthopedic surgeons make more evidence-based clinical decisions.…”
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Detection method of slight bruises of apples based on hyperspectral imaging and RELIEF-extreme learning machine by ZHANG Meng, LI Guanghui

“…The final detection accuracy of apple damage detection algorithm based on the image processing technology was over 94%, which indicates that the algorithm is efficient for identifying slight bruises of apples.…”
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A Three-Dimensional Microwave Sparse Imaging Approach Using Higher-Order Basis Functions by Nebojsa Vojnovic, Lorenzo Crocco, Marija Nikolic Stevanovic

“…Each component can be further expressed as a sum of spherical harmonics, which provide the dictionary exploited by the sparse processing algorithm. Our measurement model relates the data and the parameters of the spherical harmonics’ sources, which are uniformly distributed on a grid sampling the imaging domain. …”
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A method for detecting the rate of tobacco leaf loosening in tobacco leaf sorting scenarios by Yansong Wang, Yansong Wang, Chunjie Zhang, Chunjie Zhang, Mingjie Wu, Mingjie Wu, Ruilin Luo, Lin Lu, Zaiqing Chen, Zaiqing Chen, Lijun Yun, Lijun Yun

“…Initially, a darkroom image acquisition system was constructed to create a stable monitoring environment. …”
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A Compressive Sensing-Based Bistatic MIMO Radar Imaging Method in the Presence of Array Errors by Zhigang Liu, Jun Li, Junqing Chang, Yifan Guo

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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…Addressing these issues through algorithm optimization, parallel processing, and the integration of additional data sources such as multispectral or LiDAR data could enhance its scalability and robustness. …”
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Automatic joint segmentation and classification of breast ultrasound images via multi-task learning with object contextual attention by Yaling Lu, Fengyuan Sun, Jingyu Wang, Kai Yu

“…The segmentation and classification of breast ultrasound (BUS) images are crucial for the early diagnosis of breast cancer and remain a key focus in BUS image processing. …”
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A New Method for Indoor Visible Light Imaging and Positioning Based on Single Light Source by Xinxin Cheng, Xizheng Ke, Huanhuan Qin

“…Furthermore, the proposed lightweight image processing algorithm reduces the average positioning time to 53.54 ms.…”
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Active and Passive Integrated Lightning Localization and Imaging Technology Based on Very-High-Frequency Radar by Yide Tan, Chen Zhou, Xinmiao Zhang, Moran Liu

“…This paper aims to enhance lightning positioning technology and data processing algorithms using very-high-frequency (VHF) lightning radar. …”
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Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map by Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum

“…To address this, a novel encryption method for medical images that operates at the bit plane level, tailored for IoT environments, is developed.MethodsThe approach initializes by processing the original image through the Secure Hash Algorithm (SHA) to derive the initial conditions for the Chen chaotic map. …”
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