The Experimental Demonstration of Correcting the Atmospheric Dispersion Using Image Processing Based on Edge Extension by Sijie Kong, Jin Zhou, Wenli Ma

“…We present an image processing algorithm based on edge extension to correct the influence of atmospheric dispersion. …”
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Development of the intelligent traffic light system based on image processing and fuzzy control techniques by Hoang Dung Nguyen, Hoang-Dang Le, Van Khanh Nguyen, Hung Minh Lam

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Development of the intelligent traffic light system based on image processing and fuzzy control techniques by Hoang Dung Nguyen, Hoang-Dang Le, Van Khanh Nguyen, Hung Minh Lam

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Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer by Achmad Nurul Fauzie, Setyawan Purnomo Sakti, Rahmadwati

“…However, computationally intensive computations can take a long time to process large images. Therefore, a parallel algorithm implementation is necessary to accelerate the process. …”
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Utilizing Image Processing and the YOLOv3 Network for Real-Time Traffic Light Control by S. Francisco Segura Altamirano, Diana M. Castro Cárdenas, Ayax M. Sifuentes Montes, Lucia I. Chaman Cabrera, Esther Y. Lizana Puelles, Angel M. Rojas Coronel, Oscar M. De la Cruz Rodríguez, Luis A. Lara Romero

“…To achieve this, video recordings of cameras placed at the intersection were used to test and verify image processing algorithms and deep learning using the YOLOv3 network implemented on a 4 GB RAM Jetson Nano card. …”
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METHODS OF DISTANCE MEASUREMENT’S ACCURACY INCREASING BASED ON THE CORRELATION ANALYSIS OF STEREO IMAGES by V. L. Kozlov

“…To solve the problem of increasing the accuracy of restoring a three-dimensional picture of space using two-dimensional digital images, it is necessary to use new effective techniques and algorithms for processing and correlation analysis of digital images. …”
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X-Ray Layered Refocusing Imaging Based on Linear Scanning by Bin Liu, Yue Luo, Ke Li, Xia Zhao

“…In the process of X-ray digital imaging, due to the mutual occlusion of object structures of different depth layers, the image projection information is overlapped. …”
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A concept for fully automated segmentation of bone in ultrasound imaging by Ananth Hari Ramakrishnan, Muthaiah Rajappa, Kannan Krithivasan, Nachiappan Chockalingam, Panagiotis E. Chatzistergos, Rengarajan Amirtharajan

“…It is given as the initial contour for the Chan–Vese algorithm to achieve smoother bone surfaces. Then, the final output from the Chan–Vese is post-processed using a boundary tracing algorithm to get the last automated bone segmented output. …”
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A Novel Tool for Biodiversity Studies: Earthworm Classification via NGS and Neural Networks by Tadeusz Malewski, Ewa Ropelewska, Andrzej Skwiercz, Anastasiia Lutsiuk, Anita Zapałowska

“…Earthworms are important in agriculture in the process of soil fertilization and influence its physicochemical properties. …”
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Symmetric Cryptography With Shift 2^n-1, Hash Transformation, Optimization-Based Controller for Medical Image Infosecurity: Case Study in Mammographic Image by Pi-Yun Chen, Jian-Xing Wu, Chien-Ming Li, Chao-Lin Kuo, Neng-Sheng Pai, Chia-Hung Lin

“…This study proposes right / left shift 2^n−1 pixel values, hash transformation with multi-secret gold keys, and an optimization-based controller to integrate two symmetric cryptography processes for medical image encryption and decryption with the same secret gold keys. …”
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An effective and open source interactive 3D medical image segmentation solution by Yi Gao, Xiaohui Chen, Qinzhu Yang, Andras Lasso, Ivan Kolesov, Steve Pieper, Ron Kikinis, Allen Tannenbaum, Liangjia Zhu

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End-View Image Processing Based Angle Alignment Techniques for Specialty Optical Fibers by Li Shen, Lin Gan, Zhuoran Dong, Borui Li, Deming Liu, Songnian Fu, Weijun Tong, Ming Tang

“…We propose two end-view-based digital image processing algorithms for high-precision rotational angle alignment of specialty optical fibers. …”
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Review of Modern Forest Fire Detection Techniques: Innovations in Image Processing and Deep Learning by Berk Özel, Muhammad Shahab Alam, Muhammad Umer Khan

“…Traditional fire detection methods, such as smoke and heat sensors, have limitations, prompting the development of innovative approaches using advanced technologies. Utilizing image processing, computer vision, and deep learning algorithms, we can now detect fires with exceptional accuracy and respond promptly to mitigate their impact. …”
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Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing by Geofrey Prudence Baitu, Y. Benal Öztekin, Omsalma Alsadig Adam Gadalla, Khaled Adil Dawood Idress

“…This study aimed to use traditional machine learning techniques to detect maize diseases using image processing techniques. A total of 600 images were obtained from the open-source Plant Village dataset for experimentation. …”
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AdaLine: Adaptive Counting Line Optimization by Perspective-Aware Trajectory Modeling in Object-Detection-Tracking Systems by Wenhao Huang, Yin Chen, Jin Nakazawa, Tadashi Okoshi

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PRACTICE GUIDELINES FOR THE USE OF STANDARDS FOR DESIGN OF INTERACTIVE SYSTEMS IN TERMAL IMAGING PROCESSING TASKS by A. Y. Tsunikov

“…According to the results of theoretical analysis of the current state of the problem of data processing automation of noisy and distorted IR images revealed that the image processing procedure is an indispensable component of the total signal processing procedure in the chain of data transformations from its registration photodetectors to the presentation to the operator, so the lack of standardized quantitative criterion imaging quality to solve practical problems of modern optoelectronic instrument makes it especially urgent to develop treatment algorithms thermal images with ergonomic requirements for computer systems. …”
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Document Verification System Using Image Processing: A Case Study of Kabale Municipality. by Ojara, Walter

“…The system is developed using state-of-the-art image processing algorithms, such as Optical Character Recognition (OCR), to extract text from scanned documents. …”
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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

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LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution by Xiangsuo Fan, Yan Zhang, Yong Peng, Qi Li, Xianqiang Wei, Jiabin Wang, Fadong Zou

“…To address the limitation of traditional deep learning algorithms in fully utilizing contextual information in multispectral remote sensing (RS) images, this paper proposes an improved vegetation cover classification algorithm called LO-MLPRNN, which integrates Large Selective Kernel Network (LSK) and Omni-Dimensional Dynamic Convolution (ODC) with a Multi-Layer Perceptron Recurrent Neural Network (MLPRNN). …”
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