On Edge Detection Algorithms for Water-Repellent Images of Insulators Taking into Account Efficient Approaches by Yizhuo Ding, Xiaofei Nan

“…Moreover, symmetry is a critical concept in digital image processing that can significantly improve edge detection. …”
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Automatic Detection of Animals in Mowing Operations Using Thermal Cameras by Ole Green, Ole Roland Therkildsen, Kim Arild Steen, Andrés Villa-Henriksen

“…We conclude that thermal imaging and digital imaging processing may be an important tool for the improvement of wildlife-friendly farming practices in the future.…”
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Bacterial Carbonate Precipitation Using Active Metabolic Pathway to Repair Mortar Cracks by Ali Raza, Rao Arsalan Khushnood

“…The remaining ten samples were split into two groups: five cracked mortar samples were exclusively exposed to the bacterial solution, while the remaining five samples were immersed in distilled water. Digital image processing was used to extract the crack characteristics before and after the repair application. …”
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Crack propagation and scale effect of random fractured rock under compression-shear loading by Yifan Chen, Biyang Sheng, Shijie Xie, Rihong Cao, Yixian Wang, Yanlin Zhao, Hang Lin

“…In the test, speckle changes on the samples surface were recorded in real time, and the evolution of strain field was analyzed by digital image processing technology. Then, the internal relations among compression-shear angle, fracture distribution and crack propagation were discussed. …”
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An extensive sunflower dataset representation for successful identification and classification of sunflower diseases by Umme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, Bonna Akter, Sadia Sazzad, Mohammad Shorif Uddin

“…Sunflower crops are prone to various diseases, insects, and nematodes, resulting in a wide range of production losses. Digital image processing and computer vision approaches have been widely utilized to categorize and detect plant diseases including leaves, fruits, and flowers over the last few decades. …”
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Artificial Intelligence Driven Human Identification by Purushottam Sharma, Aazar Imran Khan, Samyak Jain, Abhishek Srivastava

“…This is achieved by incorporating computer vision, digital image processing, vectorization, artificial intelligence, and multi-threading. …”
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Development of a Web Application for the Detection of Coronary Artery Calcium from Computed Tomography by Juan Aguilera-Alvarez, Juan Martínez-Nolasco, Sergio Olmos-Temois, José Padilla-Medina, Víctor Sámano-Ortega, Micael Bravo-Sanchez

“…This manuscript presents a web application that semiautomatically quantifies the amount of coronary artery calcium (CAC) on the basis of the coronary calcium score (CS) using the Agatston technique through digital image processing. To verify the correct functioning of this web application, 30 CTCSs were analyzed by a cardiologist and compared to those of commercial software (OsiriX DICOM Viewer).All the scans were correctly classified according to the cardiovascular event risk group, with an average error in the calculation of CS of 1.9% and a Pearson correlation coefficient r = 0.9997, with potential clinical application.…”
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ResNet-32 and FastAI for diagnoses of ductal carcinoma from 2D tissue slides by S. Phani Praveen, Parvathaneni Naga Srinivasu, Jana Shafi, Marcin Wozniak, Muhammad Fazal Ijaz

“…Clinical and pathological analysis and predictive accuracy have been improved with digital image processing.…”
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A Methodology for Extracting Power-Efficient and Contrast Enhanced RGB Images by Elias Dritsas, Maria Trigka

“…The experimental results verify the efficacy of the presented methodology through various metrics from the field of digital image processing that contribute to the choice of the optimal values for the parameters <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>a</mi><mo>,</mo><mi>b</mi></mrow></semantics></math></inline-formula> that meet the user’s preferences (low or high-contrast images) and green power. …”
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A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework by Mehedi Masud, Niloy Sikder, Abdullah-Al Nahid, Anupam Kumar Bairagi, Mohammed A. AlZain

“…With the help of modern Deep Learning (DL) and Digital Image Processing (DIP) techniques, this paper inscribes a classification framework to differentiate among five types of lung and colon tissues (two benign and three malignant) by analyzing their histopathological images. …”
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Towards Efficient Building Designing: Heating and Cooling Load Prediction via Multi-Output Model by Muhammad Sajjad, Samee Ullah Khan, Noman Khan, Ijaz Ul Haq, Amin Ullah, Mi Young Lee, Sung Wook Baik

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Microstructural evolution and coarsening behavior of the precipitates in 2205 duplex stainless steel aged at 850 °C by Yuexing Han, Ruting Chi, Qiaochuan Chen, Bing Wang, Wei Liu, Yanlin He

“…In addition, the size statistics for intermetallic precipitates, especially for the σ phase, are carried out based on the SEM images by using deep learning and digital image processing technique. Based on the above, the average interphase energy between the σ and γ phases is reasonably estimated according to the Ostwald coarsening mechanism. …”
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Research on Damage Localization of Steel Truss–Concrete Composite Beam Based on Digital Orthoimage by Rui Luo, Zhixiang Zhou, Xi Chu, Xiaoliang Liao, Junhao Meng

“…The ability of digital images to holographically describe structural morphology can effectively alleviate the problem of damage identification due to incomplete test data. Based on digital image processing technology, a matrix similarity damage identification method based on a structural digital orthoimage was proposed. …”
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The Determination of Dawn Time through Image Processing Camera by Harry Ramza, Tossa Hario Yudhanto, Dedy Sugiharto, As’ad Syaifudin Ulum, Mohammad Mujirudin, Emilia Roza, Mohammad Syuhaimi Ab-Rahman, Tono Saksono, Mohd Haris Md Khir

“…The data generated by the drone is in the form of photos, which are subsequently processed using digital image processing software, called image-J. The data obtained are in the form of mean and standard deviation. …”
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Pre- and Post-Liquefaction Behaviors of Manufactured Sand Considering the Particle Shape and Stress History Effects by Zhe Wang, Guanyu Chen, Dazhi Wu, Yao Li, Juntao Hu

“…In this study, the particle shapes of MS and QS were quantitatively characterized by metallurgical microscope tests and digital image processing. Their pre- and post-liquefaction behaviors were evaluated by a series of direct shear tests, cyclic simple shear tests (CSS), and post-liquefaction monotonic shear tests (PMS). …”
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DEVELOPMENT OF A VIDEO PROCESSING MODULE FOR THE TASK OF AIR OBJECT RECOGNITION BASED ON THEIR CONTOURS by Valentyn Yesilevskyi, Anton Koliadin, Olena Sereda

“…In the work, the following methods are used: methods of digital image processing, methods of filtering and semantic segmentation of images, methods of graph analysis. …”
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Automated identification of kinetics model in elastomer vulcanization using a rheometer MDR and Rubber-K pattern recognition software by S. Gómez-Jiménez, T. Saucedo-Anaya, E.A. López-Baltazar, A. Robles-Guerrero

“…For this task, robust algorithms for digital image processing and pattern recognition related to curing kinetics were generated and integrated into Rubber-K software. …”
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Detecting Diseases on Clove Leaves Using GLCM and Clustering K-Means by Mila Jumarlis, Mirfan

“…This is because the agricultural sector has no disease detection system for clove leaves by utilizing digital image processing technology to detect diseases in clove leaves. …”
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Image-Based Automated Width Measurement of Surface Cracking by Miguel Carrasco, Gerardo Araya-Letelier, Ramiro Velázquez, Paolo Visconti

“…This paper proposes a novel automated method for surface cracking width measurement based on digital image processing techniques. Our proposal consists of three stages: anisotropic smoothing, segmentation, and stabilized central points by k-means adjustment and allows the characterization of both crack width and curvature-related orientation. …”
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A RAPID PIPELINE FOR PERIODIC INSPECTION AND MAINTENANCE OF ARCHITECTURAL SURFACES by R. A. Galantucci, M. Lasorella, M. De Fino

“…</p><p>In recent years, literature is moving towards an optimization of the investigation phases, by implementing digital technologies for the acquisition, elaboration and interpretation of 2D/3D data, to assess the state of conservation of a building or its main components. Besides, digital image processing and artificial intelligence are progressively rationalizing the analysis of the collected data. …”
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