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8th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

作者： Cebeci, Ufuk Aslan, Fatih Celik, Metin C. Aydin, Halil Istanbul Tech Univ Dept Ind Engn TR-34367 Istanbul Turkey Turkey BSS Software Istanbul Turkey Azim Packaging Istanbul Turkey

ISBN: (纸本)9783642549274;9783642549267

Packaging plays a very important role in marketing. Thanks to packaging, the goods while in transit and the products located onto retail shelves are protected. In order to gain competitive advantages in the market, the way of packaging should be assessed and managed effectively. Having many advantages such as versatility, recyclability, and cheapness;corrugated boards packaging is widely used and increasing popularity in the world. Due to the high rate usage of corrugated board, the production of corrugated board becomes more of an issue. In the current situation, corrugated boards placed onto each other on pallets before delivery are counted manually. The situation leads to waste and extra cost for the factory. The approach mentioned in this paper aims to automate this process by using image processing algorithms and to eliminate all wastes related to manual counting process. There is no scientific research studied related to this problem. An algorithmic approach is applied by using sample images provided by a company corresponding to corrugated boards. Therefore, the automated counting system for corrugated board is proposed by this study.

关键词： Corrugated board Counting objects image processing algorithm image processing techniques image classification

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image-based intelligent detection of typical defects of complex subway tunnel surface

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TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2023年第1期140卷

作者： Xu, Lizhi Wang, Yaodong Dong, Anqi Zhu, Liqiang Shi, Hongmei Yu, Zujun Beijing Jiaotong Univ Sch Mech Elect & Control Engn Beijing 100044 Peoples R China Collaborat Innovat Ctr Railway Traff Safety Beijing Peoples R China Univ Calif Irvine Dept Mech & Aerosp Engn Irvine CA USA

We propose a new hybrid model algorithm that addresses the challenges of recognizing multiple objects. Specifically, objects are recognized from massive, large-scale, and complex tunnel images without repeated parameter adjustments and high-cost annotation datasets. Our algorithm utilizes a multi-scale, fusion-based encoder-decoder segmentation model to classify objects from high-resolution images of the tunnel surfaces. To enhance the accuracy of crack identification from complex backgrounds, we incorporate the Expanded Threshold Search (ETS) algorithm and the Local Window Extraction (LWE) algorithm. The acquisition device and the algorithm, implementing the multi-object dataset, have successfully tested, whereby it recognizes five objects and attains the highest Intersection over Union (39.3% for the crack object, 65.6% for the leakage object, and 75.7% for the rest).

关键词： Intelligent detection image processing algorithm Convolutional neural network Semantic segmentation Subway tunnel Structural health monitoring

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Experimental study on water-exit of cylinder

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OCEAN ENGINEERING 2024年 293卷

作者： Yun, Honglu Liu, Qingbo Zeng, Zheng Lian, Lian Shanghai Jiao Tong Univ Sch Oceanog Shanghai 200240 Peoples R China Shanghai Jiao Tong Univ State Key Lab Ocean Engn Shanghai 200240 Peoples R China

In this paper, the hydrodynamic characteristics of the cylinder water-exit are studied by high-speed camera experiments. The characteristics of cylindrical motion trajectory, velocity and acceleration are analyzed by image processing algorithm. The emission voltage (i.e. initial velocity) and emission depth are important influencing factors. Based on different emission voltage and depth, the hydrodynamic coefficient is compared and analyzed. The results show that the new research method has good adaptability to the experimental study of cylindrical water-exit. The emission voltage directly affects the initial velocity of the cylinder, which in turn affects the force changes during the water exit process. The increase in emission depth exacerbates the uncertainty of the moment when the cylinder exits the water, thereby affecting the changes in the wake and motion stability during the cylinder water exit process.

关键词： Water-exit Hydrodynamic characteristics image processing algorithm

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Novel Method of Calculation of Magnetic Resonance Imaging Perfusion and Comparison of Single versus Double Barrel Superficial Temporal Artery-Middle Cerebral Artery Bypass for Revascularisation in Moya Moya Disease

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WORLD NEUROSURGERY 2024年 181卷 E516-E523页

作者： Manjunath, Niveditha Dhanakshirur, Rohan Raju Joshi, Siddharth Reddy, Nikhila Gunna Raheja, Amol Sebastian, Leve Joseph Devrajan Garg, Ajay Kalra, Prem Kumar Suri, Ashish All India Inst Med Sci Dept Neurosurg Bhubaneswar India Indian Inst Technol Amarnath & Shashi Khosla Sch Informat Technol Delhi India All India Inst Med Sci Dept Neuroimaging & Intervent Neuroradiol New Delhi India Indian Inst Technol Dept Comp Sci & Engn New Delhi India

OBJECTIVE: Moyamoya disease (MMD) is characterized by supraclinoid internal carotid artery narrowing causing cerebral parenchyma to starve. Direct and indirect revascularisation techniques are the treatment norm. We provide a clinicoradiological comparison of single and double barrel superficial temporal artery to middle cerebral artery (STA-MCA) bypass for MMD. The perfusion in cerebral hemispheres and vessel density in digital subtraction angiography (DSA) have been evaluated using novel algorithms. METHODS: DSA, arterial spin labeling magnetic resonance imaging methods and Suzuki, Matsushima, Angiographic Outcome Score scales were used to quantify perfusion parameters;modified Rankin Score was used for clinical evaluation. A novel image processing algorithm was designed to perform analysis of arterial spin labeling sequences and compare perfusion. Vessel density was calculated using connected component analysis on thresholded DSA images. RESULTS: Fifty-four hemispheres with MMD underwent STA-MCA bypass 42(77.8%) single barrel and 12 (22.2%) double barrel. Clinical outcome-modified Rankin Score was significant with P < 0.001 in single barrel and P = 0.001 in double barrel groups. The overall Angiographic Outcome Score showed improvement postoperatively (P = 0.032). Perfusion analysis was performed in 20 hemispheres (13 single barrel;7 double barrel). MCA territories showed significant improvement in single barrel (2.72%, P = 0.0294) and double barrel groups (12.89%, P = 0.025). Vessel density calculated in MCA territory, showed an overall postoperative improvement (P = 1.75 3 10e8). CONCLUSION: Double barrel STA-MCA bypass clinically as well as radiologically improves perfusion in the ACA as well as MCA territories in MMD. The novel image processing algorithm is an accurate, objective tool to evaluate perfusion in magnetic resonance images and vessel density in DSA images of MMD.

关键词： Double barrel bypass image processing algorithm Moya Moya disease Perfusion analysis Revascularization Single barrel bypass

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Semiautomatic Quantitative Assessment of DIEP Flap Volume and Thickness for Breast Reconstruction using CTA Data and Implications in Postoperative Complications

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JPRAS OPEN 2024年 42卷 370-379页

作者： Hurtado, Maria A. Ceron Barrantes, Sergi Egea, Antonio Sanchez Sinol, Farners Armengol Rojas, Hernan Gonzalez Padulles-Escarre, Anna Jerez-Gonzalez, Jose A. Ojeda, Anna Lopez Font, Joan Fontdevila Univ Politecn Cataluna Dept Engn Mech Barcelona 08028 Spain Av Victor Balaguer 1 Barcelona 08800 Spain Autonomous Univ West Cali Colombia Bellvitge Univ Hosp Dept Plast & Reconstruct Surg Barcelona Spain Hosp Univ Bellvitge Nursing Res Grp GRIN IDIBELL Barcelona Spain Hosp Clin Barcelona Dept Plast & Reconstruct Surg Barcelona Spain

Accurately assessing flap volume and thickness is a crucial aspect of breast reconstruction using the deep inferior epigastric perforator (DIEP) flap, especially in challenging cases such as thin or large-breasted women or bilateral reconstruction. To address this, we present an innovative image processing tool utilizing computed tomography angiography (CTA) to measure DIEP flap volume and thickness. Our approach incorporates an elliptical equation validated on DIEP reconstruction patients. Preoperative abdominal CTA images were obtained from 70 patients who underwent DIEP flap breast reconstruction at Hospital Universitari de Bellvitge from 2017 to 2021. The image processing tool was employed for preoperative quantification, utilizing elliptical approximations, to determine the volume to be harvested and assess the central thickness of the flap. Subsequently, a non-parametric statistical retrospective analysis was conducted to examine these parameters in relation to immediate complications. The mean maximum recruitable volume (MRV) was 1017.15 +/- 325.51 cm 3, with a mean thickness of 3.65 +/- 1.14 cm. No significant correlation was found between postoperative complications and MRV or thickness values. The processing tool offers a reliable solution for accurately measuring the volume and thickness of the DIEP flap from CTA images, aiding surgeons in breast reconstruction decision-making. This innovative approach enhances surgical planning by addressing quantitative values of thickness and volume of the DIEP flap, which is critical for accurate flap assessment. (c) 2024 The Author(s). Published by Elsevier Ltd on behalf of This is an open access article under the CC BY-NC-ND license ( http://***/licenses/by-nc-nd/4.0/ )

关键词： DIEP flap image processing algorithm Perforator flap planning 3D planning Computed tomography angiography

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Automated Angle Detection for Industrial Production Lines Using Combined image processing Techniques

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Intelligent Automation & Soft Computing 2024年第4期39卷 599-618页

作者： Pawat Chunhachatrachai Chyi-Yeu Lin Department of Mechanical Engineering National Taiwan University of Science and TechnologyTaipei106TaiwanChina Center for Intelligent Manufacturing Innovation National Taiwan University of Science and TechnologyTaipei106TaiwanChina

Angle detection is a crucial aspect of industrial automation,ensuring precise alignment and orientation ofcomponents in manufacturing *** the widespread application of computer vision in industrialsettings,angle detection remains an underexplored domain,with limited integration into production *** addresses the need for automated angle detection in industrial environments by presenting a methodologythat eliminates training time and higher computation cost on Graphics processing Unit(GPU)from machinelearning in computer vision(e.g.,Convolutional Neural Networks(CNN)).Our approach leverages advanced imageprocessing techniques and a strategic combination of algorithms,including contour selection,circle regression,polar warp transformation,and outlier detection,to provide an adaptive solution for angle *** configuringthe algorithm with a diverse dataset and evaluating its performance across various objects,we demonstrate itsefficacy in achieving reliable results,with an average error of only 0.5 ***,this error margin is 3.274times lower than the acceptable *** study highlights the importance of accurate angle detection inindustrial settings and showcases the reliability of our algorithm in accurately determining angles,thus contributingto improved manufacturing processes.

关键词： Angle detection image processing algorithm computer vision machine vision industrial automation

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The Rostock Method for Qualitative and Quantitative Evaluation of Intraocular Lenses

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KLINISCHE MONATSBLATTER FUR AUGENHEILKUNDE 2022年第12期239卷 1440-1446页

作者： Elsner, Ricardo Sievers, Jan Kunert, Martin Reiss, Stefan Bohn, Sebastian Schuenemann, Melanie Stolz, Heinrich Guthoff, Rudolf Stachs, Oliver Sperlich, Karsten Univ Med Rostock Klin & Poliklin Augenheilkunde Doberaner Str 140 D-18057 Rostock Germany Univ Rostock Interdisziplinare Fak Leben Licht & Materie Rostock Germany Martin Luther Univ Halle Wittenberg Inst Phys Halle Germany Dietrich Bonhoeffer Klinikum Neubrandenburg Klin Augenheilkunde Neubrandenburg Germany Berliner Hsch Tech Lab Sehhilfen Bereich Opt & Tech Brille Berlin Germany Univ Rostock Inst Phys Rostock Germany

Background For quantitative and qualitative evaluation of the imaging properties of IOLs, axial cross-sectional images can be obtained from the 3-dimensional light distribution by means of an optical bench, as is known from light sheet recordings in fluorescein baths. This paper presents a new image-processing algorithm to enhance the quality of generated axial cross-sectional images, and the two methods are then compared. Material and Methods The 3-dimensional point spread function of a diffractive trifocal IOL (AT LISA tri 839MP, Carl Zeiss Meditec AG, Jena, Germany) was recorded on an optical bench developed in Rostock for different pupil diameters. A specially adapted image processing algorithm was then applied to the measurements, allowing through-focus curves to be generated. In addition, cross-sectional images of the IOLs studied were acquired using the light sheet method in a fluorescein bath. Results The study clearly shows the superiority of the newly developed method over the light sheet method in terms of image quality. In addition to the individual focal points, fine focal structures as well as halos can be made visible in the cross-sectional images obtained using the new method. In the generated through-focus curves, 3 intensity peaks can be identified, which represent the near, intermediate and far focus of the tested MIOL and cannot be represented by light sheet methods. Conclusion The interaction of the optical bench with the developed image processing algorithm allows a more detailed understanding of the image formation and false light phenomena of IOLs, which was restricted by the technical limitations of the existing light sheet method. In addition, other quantities such as the through-focus curve can be derived quantitatively.

关键词： IOL optic bench fluorescein image processing algorithm cross-sectional images 3-D point spread function

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Parsing Netlists of Integrated Circuits from images via Graph Attention Network

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SENSORS 2024年第1期24卷 227-227页

作者： Hu, Wenxing Zhan, Xianke Tong, Minglei Shanghai Univ Elect Power Coll Elect & Informat Engn Shanghai 200082 Peoples R China

A massive number of paper documents that include important information such as circuit schematics can be converted into digital documents by optical sensors like scanners or digital cameras. However, extracting the netlists of analog circuits from digital documents is an exceptionally challenging task. This process aids enterprises in digitizing paper-based circuit diagrams, enabling the reuse of analog circuit designs and the automatic generation of datasets required for intelligent design models in this domain. This paper introduces a bottom-up graph encoding model aimed at automatically parsing the circuit topology of analog integrated circuits from images. The model comprises an improved electronic component detection network based on the Swin Transformer, an algorithm for component port localization, and a graph encoding model. The objective of the detection network is to accurately identify component positions and types, followed by automatic dataset generation through port localization, and finally, utilizing the graph encoding model to predict potential connections between circuit components. To validate the model's performance, we annotated an electronic component detection dataset and a circuit diagram dataset, comprising 1200 and 3552 training samples, respectively. Detailed experimentation results demonstrate the superiority of our proposed enhanced algorithm over comparative algorithms across custom and public datasets. Furthermore, our proposed port localization algorithm significantly accelerates the annotation speed of circuit diagram datasets.

关键词： object detection deep learning graph convolutional neural network image processing algorithm link prediction

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image processing system for vidicon-based radiation-resistant cameras 6

Image processing system for vidicon-based radiation-resistan...

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Conference on Optics, Photonics and Digital Technologies for Imaging Applications VI

作者： Kolesnikova, Daria V. ITMO Univ St Petersburg Russia

ISBN: (数字)9781510634794

ISBN: (纸本)9781510634794

Video surveillance systems for the main production processes at nuclear power plants are an important research topic in our time. Reliability, quality, and radiation resistance - are among the main fundamental requirements for the created products. Inspection of many areas that are important for safe operation can be carried out only with the help of TV cameras based on the vidicon tube receiver, which form only a grayscale image. The ability to convert a grayscale image obtained with radiation-tolerant television cameras into a color image will significantly increase the reliability and information content of the control, which will allow an objective assessment of the condition of the equipment, and as a result will reduce the risk of emergency situations. The solution proposed in the work is a technique for converting grayscale image obtained with radiation-tolerant cameras based on vidicon tube receiver into color one. One of the main characteristics of the vidicon is its spectral characteristic, which is determined by the device and the properties of the photographic target.

关键词： Vidicon video-survellance systems radiation conversion of grayscale image image processing algorithm radiation-tolerant cameras object lighting nuclear power plants

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Evaluation of parallelization of an image processing algorithm for an embedded multicore platform using manual parallelization and the OpenMP parallel framework

Evaluation of parallelization of an image processing algorit...

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39th Annual Conference of the IEEE Industrial-Electronics-Society (IECON)

作者： Prokesch, Richard Austrian Inst Technol GmbH Safety & Secur Dept High Performance Image Proc Vienna Austria

ISBN: (纸本)9781479902248

In this paper manual parallelization is compared with parallelization using the Open Multi-processing (OpenMP) software framework on an embedded eight core Digital Signal Processor (DSP) developed by Texas Instruments. In order to compare these two methods an in-house developed 2D image registration algorithm is parallelized. Furthermore considerations regarding the parallelization on this DSP are presented. Finally both parallelization methods in respect of performance and real time behavior are measured and analyzed.

关键词： digital signal processor embedded system image processing algorithm manual parallelization OpenMP performance comparison

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