Analysis and Evaluation of Ecological Environment Monitoring Based on PIE Remote Sensing Image Processing Software by Xiaofeng Wang, Zhengran Wang

“…Therefore, this paper made use of the advantages of PIE remote sensing image processing software in data analysis and processing, and put forward the research on ecological environment monitoring, analysis and evaluation methods. …”
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Automatic Measurement Method of Slump Flow of Cement Paste Based on Dynamic Image Processing Technology by Shiqin He, Pengfei Gao, Chunyue Wang, Ding Nie, Hui Wang

“…In this paper, an automatic measurement method of slump flow based on dynamic image processing technology is studied. Firstly, the cement paste flowability test video is divided into frames every 100 ms; secondly, based on the principle of perspective transformation, an automatic point selection method is proposed to correct the frame image to solve the problem of shooting angle; thirdly, the watershed algorithm based on distance transformation is used to segment the boundary of the cement paste area, and the slump flow is calculated according to the polar coordinates of the boundary; lastly, the relationship curve between slump flow and time is automatically output, and the slump flow at any time is obtained. …”
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Detection and Management of Water Stress at Plants by Deep Learning and Image processing Case-study of Tomato by Guerbaoui Mohammed, Ichou Ismail, Bakziz Zakaria, Selmani Abdelouahed, El Faiz Samira, Ed-Dahhak Abdelali, Benhala Bachir, Lachhab Abdeslam

“…This project aims to develop an innovative technique for detecting water stress in tomato plants using deep learning and image processing techniques, and to integrate it into a mobile application for real-time monitoring. …”
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RESEARCH ON THE MEASUREMENT SYSTEM FOR FLEXIBLE JOINT’S PIVOT POINT DRIFT BASED ON MACHINE VISION by WEN YueBing, TAN JianPing, WANG Xian, LI KaiMo

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Implementation of Portable Ultrasound for Heart Disease Detection Using Cloud Computing-Based Machine Learning by Riyanto Sigit, Rika Rokhana, Setiawardhana, Taufiq Hidayat, Anwar, Jovan Josafat Jaenputra

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Le relevé interdisciplinaire d’art pariétal paléolithique en trois dimensions : intérêt, méthode et premiers résultats by Priscilia Barbuti, Oscar Fuentes, Stéphane Konik, Geneviève Pinçon

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Gradient pooling distillation network for lightweight single image super-resolution reconstruction by Zhiyong Hong, GuanJie Liang, Liping Xiong

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Determination of the area index of lettuce leaves with a monocular camera by Laimonas Kairiūkštis, Başak Yalçıner, Emre Özkul

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Chromospheric Jets and Their Properties by Ehsan Tavabi, Sima Zeighami

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Research on Concrete Beam Damage Detection Using Convolutional Neural Networks and Vibrations from ABAQUS Models and Computer Vision by Xin Bai, Zi Zhang

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AIRBORNE LASER SCANNER AS A DATA SOURCE FOR BUILDING SELECTED ELEMENTS OF AN INTELLIGENT DATABASE FOR TRANSPORTATION by Agnieszka SOLARZ, Natalia BOROWIEC

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Research on the Path of Artisan Spirit to Party Ideological Education in Colleges and Universities Based on Image Processing Technology by Bo Wang, Yu Li, Muhammad Talha

“…The party ideological education is the dependent variable, and image processing technology includes segmentation quality factors and performance related to the image processing technology. …”
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Evaluating sowing uniformity in hybrid rice using image processing and the OEW-YOLOv8n network by Zehua Li, Zehua Li, Yihui Pan, Xu Ma, Yongjun Lin, Xicheng Wang, Hongwei Li

“…Firstly, image processing methods are used to segment seed image and obtain seed grids. …”
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Improved Support Vector Machine and Image Processing Enabled Methodology for Detection and Classification of Grape Leaf Disease by Arshiya S. Ansari, Malik Jawarneh, Mahyudin Ritonga, Pragti Jamwal, Mohammad Sajid Mohammadi, Ravi Kishore Veluri, Virendra Kumar, Mohd Asif Shah

“…In recent years, agricultural image processing research has been a key emphasis. Image processing techniques are used by computers to analyze images. …”
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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…Present research work mainly introduces the training of computer graphics and image processing technology and the method of active contour image segmentation. …”
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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

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COMPUTER IMAGE PROCESSING OF MICROSTRUCTURES OF GRAY CAST IRON AS A TOOL FOR QUANTITATIVE ANALYSIS OF GRAPHITE DISTRIBUTION by A. N. Chichko, O. A. Sachek, S. G. Lihouzov, O. I. Chichko

“…Methods for determining the structure «shows the possibilities of classification of microstructures ПГд15, ПГд25, ПГд45, ПГд90, ПГд180, ПГд350, ПГд750 and ПГд1000 based on image processing techniques that allows to develop a methodology for the transition from qualitative scale of microstructures used for the analysis of the graphite phase, to quantify.…”
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Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations by Lalitha Kumari Pappala, Sai Babu Veesam, Kannaiah Chattu, Janapati Venkata Krishna, Jyostna Devi Bodapati, B. Tarakeswara Rao

“…In this text we propose a collection of enhanced quantum methods that would drastically enhance the efficiency and accuracy of biomedical image processing. There are four key methodologies that have been proposed in this work: Quantum Support Vector Machines with Enhanced Feature Extraction, Quantum Generative Adversarial Networks for Data Augmentation, Quantum Entanglement and Correlation Analysis for Feature Detection, and Quantum-Enhanced Image Reconstruction for Noisy Data Samples. …”
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Study on Air Void Characteristics and Hydraulic Characteristics of Porous Asphalt Concrete Based on Image Processing Technology by Zhanqi Wang, Jianguang Xie, Lei Gao, Yanping Liu, Kuan Li

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Introducing a Rapid and Practical Approach for Determining Fat Content in Cow Milk Using Image Processing by Lena Beheshti Moghadam, Seyed Saeid Mohtasebi, Behzad Nouri, Mahmoud Omid, Seyed Morteza Mohtasebi

“…Cow milk samples spanning a fat content range of 0.2% to 3.5% were analyzed under various lighting conditions, employing a fusion of image processing methods with artificial neural networks (ANNs) and particle swarm optimization (PSO) algorithms. …”
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