Truck-Lifting Prevention System Based on Vision Tracking for Container-Lifting Operation by Qingfeng Huang, Yage Huang, Zhiwei Zhang, Yujie Zhang, Weijian Mi, Chao Mi

“…The accident detection algorithm combines convolutional neural network detection, traditional image processing, and a multitarget tracking algorithm to calculate the displacement and posture information of the truck during the operation. …”
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Color Image Segmentation Using Fuzzy C-Regression Model by Min Chen, Simone A. Ludwig

“…Image segmentation is one important process in image analysis and computer vision and is a valuable tool that can be applied in fields of image processing, health care, remote sensing, and traffic image detection. …”
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The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

“…The main contents of this article were studied as follows: the principle and operating approach of convolutional neural network on image processing was first introduced, and then 12-layer convolutions were skillfully set up for local pathways based on two-way convolutional neural network architectures; considering the inter-label dependency in pixel areas, the situation of conditional random field was simulated to design the input series connection structure; multi-pooling input series connection model was designed to solve the problem that the input pixel area is limited; finally, the classification accuracy upon experiments reached 83%, which has verified the effectiveness of model to improve.…”
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PYTHON INTERFACE DESIGN FOR MICROPHOTOGRAPHY ANALYSIS:APPLICATION TO EVALUATE THE HEMORHEOLOGICAL ACTIVITY OF QUERCETIN by P.Buszniez, M. Gómez, H. V. Castellini, B.D. Riquelme

“…The usability criteria of the GUI based on the TkInter library are aimed at non-expert users. The image processing algorithms are contained in the OpenCV2 library, which uses pre-trained neural networks. …”
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Intelligent Computer Technology-Driven Mural Pattern Recognition Method by Wenqing Wei, Lei Gao

“…In recent years, as a new image processing technology, deep learning based on a convolutional neural network is widely used in many fields. …”
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Particle Swarm Optimization Algorithm and Its Application in Image Segmentation by Yu Liyang

“…Meanwhile, classical segmentation methods such as OSTU, Watershed and K-means are also widely used in medical image processing due to their simplicity and effectiveness. …”
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Revealing Traces of Image Resampling and Resampling Antiforensics by Anjie Peng, Yadong Wu, Xiangui Kang

“…Image resampling is a common manipulation in image processing. The forensics of resampling plays an important role in image tampering detection, steganography, and steganalysis. …”
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ChatGPT and CLT: Investigating differences in multimodal processing by Michael Cahalane, Samuel N. Kirshner

“…Furthermore, while humans generally perceive ChatGPT to be more concrete in image processing, there is a notable discrepancy between this perception and the actual level of concreteness exhibited by ChatGPT in handling image-based tasks. …”
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Design and Implementation of Brain Tumor Segmentation and Detection Using a Novel Woelfel Filter and Morphological Segmentation by M Venu Gopalachari, Morarjee Kolla, Rupesh Kumar Mishra, Zarin Tasneem

“…The tumor will be located and identified using morphological image processing. Image denoising refers to the process of removing artefacts such as noise and aliasing from digital images. …”
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Stochastic Risk Assessment with a Lagrangian Solution for the Optimal Cost Allocation in High-Speed Rail Networks by Jing Zuo, Jianwu Dang, Min Lyu

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Portable motorized telescope system for wind turbine blades damage detection by Alejandro Carnero, Cristian Martín, Manuel Díaz

“…The system consists of a stand‐alone Android application that makes use of convolutional neural networks for image processing, a portable telescope to take precise photographs of the turbine blades, and a motorized mount that allows the movement of the telescope. …”
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Micro- and Nanoscale Pore Structure Characterization and Mineral Composition Analysis of Clayey-Silt Hydrate Reservoir in South China Sea by Cheng Lu, Yuxuan Xia, Xuwen Qin, Chao Ma, Hang Bian, Donghui Xing, Hongfeng Lu

“…In this study, computed tomography and scanning electron microscope are used to obtain digital images of three clayey-silt natural gas hydrate reservoir samples in the Shenhu area of South China Sea, and then, the pore structure and the mineral composition of the samples are obtained after image processing. The result indicates that the clayey-silt samples show strong hydrophilic characteristics, small particles, good sorting properties, variable pore distribution, small average pore and throat radius, large porosity, and a large content of submicron pores. …”
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Variations in EUV Irradiance: Comparison between LYRA, ESP, and SWAP Integrated Flux by Mehmet Sarp Yalim, Stefaan Poedts

“…The Sun Watcher Using Active Pixel System Detector and Image Processing (SWAP) telescope and Large Yield Radiometer (LYRA) are the two Sun observation instruments on-board PROBA2. …”
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Real Flight Application of a Monocular Image-Based Aircraft Collision Decision Method by Peter Bauer, Antal Hiba, Tamas Zsedrovits

“…Second, it introduces the UAVs and flight test scenarios together with the camera system and the steps of image processing used in flight testing. A brief analysis about intruder detectability is also provided referencing a more exhaustive work of the authors. …”
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Computed Tomography Image Segmentation of Lung Corona Virus Infection Region Based on Combination of Grayscale Morphological Reconstruction and Fast Marching Method by Aws Alazawi, Abbas Fadhal Humadi, Huda Farooq Jameel, Huda Ali Hashim, John Soraghan

“…In worldwide, infectious patients increase rapidly that lead to weariness in health services staff, as well as instant treatment required to avoid patients’ health deterioration due to infection development. Image processing would be reinforcing health services by considering computer-based segmentation. …”
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Medical Images Segmentation Based on Unsupervised Algorithms: A Review by Revella E. A. Armya, Adnan Mohsin Abdulazeez

“…(Magnetic Resonance Imaging), So segmentation of medical images is considered one of the most important medical imaging processes because it extracts the field of interest from the Return on investment (ROI) through an automatic or semi-automatic process. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…When applying these methods to sensor data, we often initialize hyperparameters with values optimized for image processing tasks as a starting point. We suggest that comparable accuracy could be achieved with fewer parameters for sensor data, which typically have lower dimensionality than image data. …”
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Biometric Fusion for Enhanced Authentication in Cloud Computing Environments by Chiyo Miyazawa, Ryosuke Sato

“…Each trait undergoes meticulous image processing stages, encompassing pre-processing, normalization, and feature extraction. …”
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Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design by Bin Hu

“…In terms of landscape image processing, the image evaluation provides a certain basis.…”
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Studi Experimental Terhadap Perpindahan Kalor Pada Tumbukan Multiple Droplets Dengan Variasi Frekuensi Tetesan by Indro Pranoto, Dannys Arif Kusuma, Teguh Wibowo, Fauzun Fauzun, Deendarlianto Deendarlianto, Indarto Indarto

“…The surface material of stainless steel with a temperature range of 120°C to 200°C was used in the study. An image processing technique was used to measure the diameter of droplets that were captured by using a high-speed camera. …”
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