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

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Stationauxiliary operation technology for sonar digital image processing based on machine vision by DAI Zhonghua, JIN Qiaoyuan, YANG Ding, CHENG Yu

“…A station auxiliary operation technology for sonar digital image processing based on machine vision is proposed. …”
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Implementation of Fruit Grading & Sorting Station Using Digital Image Processing Techniques by Ghulame Mustafa Abro, Kundan Kumar

“…The camera will be triggered by a brief algorithm of digital image processing designed on the platform of MATLAB R2015a version and conclude whether the fruit, i.e. an apple is healthy or having some rotten spots on its skin. …”
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Method for estimating leaf coverage in strawberry plants using digital image processing by Juan D. Sandino, Olga L. Ramos-Sandoval, Darío Amaya-Hurtado

“…The DPI based technique includes the smoothing, dilatation, contour detection, threshold and edges detection operations. The image acquisition system was conducted by means of photographic images in plants in study, directly from the beds of the crop and the captures were subsequently processed through the proposed algorithm. …”
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GAAOA-Lévy: a hybrid metaheuristic for optimized multilevel thresholding in image segmentation by Eman Mahmoud, Salem Alkhalaf, Tomonobu Senjyu, Masahiro Furukakoi, Ashraf Hemeida, Ghada Abozaid

“…Abstract Image segmentation is a critical task in image processing with applications in various domains, including industry and medicine. …”
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Application of 3D Digital Image Processing Technology in Modern Packaging Design by Kun Meng, Fulong Liu

“…In this paper, a modern packaging model is constructed by combining three-dimensional digital image processing technology, which has achieved the effect of improving the quality of modern packaging design. …”
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Resolving Contrast and Detail Trade-Offs in Image Processing with Multi-Objective Optimization by Daniel Molina-Pérez, Alam Gabriel Rojas-López

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Water Level Detection and Flood Early Warning System Using Image Processing by Muhammad Akmal Ilmi, I Komang Somawirata, Michael Ardita

“…Data in the form of river images is processed using image processing algorithms to analyze water levels in real-time. …”
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Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method by Zhaolin Lu, Xiaojuan Hu, Yao Lu

“…Particle morphology, including size and shape, is an important factor that significantly influences the physical and chemical properties of biomass material. Based on image processing technology, a method was developed to process sample images, measure particle dimensions, and analyse the particle size and shape distributions of knife-milled wheat straw, which had been preclassified into five nominal size groups using mechanical sieving approach. …”
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Pixel-Based Image Processing for CIE Standard Sky Classification through ANN by D. Granados-López, A. García-Rodríguez, S. García-Rodríguez, A. Suárez-García, M. Díez-Mediavilla, C. Alonso-Tristán

“…Likewise, adequate image-processing methods are analyzed that highlight key image information, prior to the application of Artificial Neural Network classification algorithms. …”
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Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing by Beatriz A. Rivera-Aguilar, Erik Cuevas, Alberto Luque-Chang, Jesús López, Marco Pérez-Cisneros

“…This paper introduces a new technique of image contrast enhancement that combines insights from social sciences and image processing. …”
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Personalized zero‐watermark algorithm based on non‐uniform weighted reconstruction and WGAN by Yiran Peng, Chenheng Deng, Jiaqi Li, KinTak U

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Investigation of cracking behavior in asphalt pavement using digital image processing technology by Jie Jiang, Jie Jiang, Kui Xu, Yanbin Song, Ling Gao, Jinzhu Zhang

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ULTRASOUND VIDEO ANALYSIS FOR UNDERSTANDING INFANT BREASTFEEDING by G. Monaci, M. Woolridge

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A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation by Guiqian Wang, Feiniu Yuan, Hongdi Li, Zhijun Fang

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Development of Automated Image Processing for High-Throughput Screening of Potential Anti-Chikungunya Virus Compounds by Pathaphon Wiriwithya, Siwaporn Boonyasuppayakorn, Pattadon Sawetpiyakul, Duangpron Peypala, Gridsada Phanomchoeng

“…This study presents the development and validation of an automated image processing algorithm designed to improve the accuracy and speed of high-throughput screening for potential anti-chikungunya virus compounds. …”
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Counting touching wheat grains in images based on elliptical approximation by D. R. Avzalov, E. G. Komyshev, D. A. Afonnikov

“…However, some grains may have chips, depressions and bulges, which leads to the identification of the corner points that do not correspond to the grain contact region. Additional data processing is required to avoid these errors. In this paper, we propose an algorithm for the identification of wheat grains in an image and determine their boundaries in the case when they are touching. …”
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Аlgorithm of fast computation of local image histograms on video card1 by Ph. S. Trotski, B. A. Zalesky

“…An algorithm of parallel computation of image histograms of different types, including brightness and oriented gradient ones, on video cards of various types is presented. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. Eventually, the whale optimization algorithm (WOA) is used to optimally choose the hyperparameters of the CNN‐BiGRU model. …”
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Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management by Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara

“…However, precise crop N management (PNM) is hindered by its intensive data requirements, high cost, and time requirements. Digital image processing (DIP) offers a promising approach to overcoming these challenges, and numerous studies have explored its application in N management. …”
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